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3tears Agent Tools

Tool framework for LLM agents. Provides tool routing, execution, context management, MCP integration, and a set of builtin tools.

Part of the 3tears framework.

ToolServer baseline audit

ToolServer.handle_call stamps every dispatch with a unified AuditEvent envelope (event_type='tool.call') via threetears.agent.audit.publish_audit. The baseline emission fires in a finally block so success, failure (tool returned success=False), and error (tool raised) outcomes all produce a row. Identity axes carry from the active ToolCallScope (actor_user_id, calling_agent_id, owner_agent_id, customer_id, correlation_id); resource_namespace_id / resource_namespace_type stay None at the baseline layer since the tool resolves its target inside execute. Per-tool additive events (e.g. workspace.fs_write) still publish via publish_audit and ride alongside the baseline row under the same correlation_id, which ties a request's events together and is not a deduplication key: every tool.call in a turn shares it, and each is its own row. Each envelope's id is its identity, so a JetStream redelivery (which repeats the id) collapses to one row. Emission is fire-and-forget: NATS publish failures log WARN and never taint the tool's response.

Tool-as-namespace emission

Tool namespace materialization is platform-owned. ToolServer.publish_registration writes the RegistrationManifest (carrying pod_id + tools + the owner_agent_id / customer_id envelope fields), and a platform-side namespace emitter subscribes to {ns}.tools.register and upserts one namespaces row of type tool per tool. This is the sole writer in the platform.

Agent-spun ToolServers stamp agent_id + customer_id on the RegistrationManifest so the emitter lands rows with the right owner scope; platform-built-in pods (admin tool server, datasource tool pod) leave both None and the row lands with NULL owner columns (admitted under the widened namespaces_row_scope_customer_ck carve-out for tool type alongside system / model).

The canonical name shape is tools.<sanitized-mcp>.<sanitized-version> (per build_namespace_name); metadata carries the pre-sanitized natural-identity fields mcp_name / mcp_version / pod_id so downstream pattern matching (platform access materializer agent.yaml access.tools patterns + registry authorizer canonical-name lookup) does not need to reverse the sanitization rules. Deterministic uuid5 derived from (mcp_name, version, owner_agent_id_hex) keeps concurrent emitters race-safe via ON CONFLICT (id) DO UPDATE.

ToolServer holds no NamespaceCollection and has no constructor parameter to take one: register_tool / deregister_tool publish the manifest and nothing else. The pod-side emitter that once wrote and deleted these rows is deleted -- its write could not land (the agent's L3 proxy resolves platform-scoped writes to the per-agent agent_<hex> schema, which has no namespaces table) and its delete raised on every call (it passed a bare UUID to a Collection keyed on the composite (row_scope, namespace_id)). packages/agent/tools/tests/enforcement/test_no_agent_side_namespace_writes.py fails a build that brings any of it back.

Tool pod lifecycle: shutdown and owner process

ToolServerBootstrap runs every tool pod's lifecycle. Two guarantees about how a pod stops:

  • SIGTERM always ends the process. SIGTERM and SIGINT run one shutdown path, ToolServerBootstrap.shutdown_server. If the server's own shutdown raises (a NATS drain against a reconnecting server raised ConnectionResetError in production) or overruns its bound, the failure is logged once at ERROR with its cause, the serve loop is ended anyway, and run() exits EX_SOFTWARE (70). A caller driving run_async() itself receives ToolPodShutdownError, chaining the cause. ToolServer.shutdown also releases serve() in a finally, so a pod not run by the bootstrap does not hang either.
  • A pod can follow the process that owns it. Set THREETEARS_TOOL_POD_OWNER_PID to the pid of the process that spawned the pod, and the pod shuts itself down through the same path once that process no longer exists (a WARNING names the pid). Opt-in; unset watches nothing. The check is kill(pid, 0), portable across macOS and Linux; when the owner is the pod's parent, being reparented counts as the owner gone too. The value must be a decimal integer greater than 1 and not the pod's own pid -- 0, negatives, 1, blank and non-integers are refused at startup as a ToolPodConfigError, and run() exits EX_CONFIG (78).
Variable Default Meaning
THREETEARS_TOOL_POD_OWNER_PID unset pid of the owning process; the pod exits when it is gone
THREETEARS_TOOL_POD_OWNER_POLL_INTERVAL_SECONDS 1.0 how often the owner is checked (positive)
THREETEARS_TOOL_POD_SHUTDOWN_TIMEOUT_SECONDS 20.0 bound on the server's shutdown, and separately on the teardown after it (positive)

Installation

pip install 3tears-agent-tools

# Optional extras for builtin tools
pip install "3tears-agent-tools[calculator]"   # simpleeval
pip install "3tears-agent-tools[units]"        # pint
pip install "3tears-agent-tools[fetch]"        # trafilatura
pip install "3tears-agent-tools[document]"     # PyMuPDF, python-docx, openpyxl
pip install "3tears-agent-tools[all]"          # everything

Components

ToolRouter

Routes user messages to the appropriate tool using a lightweight LLM call. Includes recall-intent detection to avoid re-invoking tools when users ask about previous results.

from threetears.agent.tools import ToolRouter, is_recall_intent

# Quick check -- no LLM call needed
if is_recall_intent("show me what the calculator said"):
    # User wants to recall, not invoke

# Full routing with LLM
router = ToolRouter(chat_model)
decision = await router.route(user_message, tool_descriptions)
# decision.tool_name, decision.reasoning

ToolExecutor

Invokes a tool-LLM: sends the user message to a secondary model configured for a specific task.

from threetears.agent.tools import ToolExecutor

executor = ToolExecutor()
result = await executor.invoke_with_tools(
    chat_model=tool_model,
    user_message="What is 42 * 17?",
    tools=[calculator_tool],
    tool_name="calculator",
)
# result.content, result.tool_calls

ToolContextManager

Tracks tool invocations and results across a conversation for recall support.

from threetears.agent.tools import ToolContextManager

ctx = ToolContextManager()
await ctx.record_invocation("calculator", "42 * 17", "714")
await ctx.get_recall_context("calculator")  # Returns formatted recall string

McpClient

MCP (Model Context Protocol) integration for connecting to external tool servers.

from threetears.agent.tools import McpClient

async with McpClient(server_config) as client:
    tools = await client.list_tools()
    result = await client.invoke_tool("tool_name", {"param": "value"})

Builtin Tools

Register all builtin tools at once:

from threetears.agent.tools import register_builtins, ToolRegistry

registry = ToolRegistry()
register_builtins(registry)
# Registers: calculator, unit_converter, dice_roller, date_time,
#            random_number, web_fetch, text_transform, parse_document

Todo Tools

Todo list management behind a storage protocol:

from threetears.agent.tools import TodoStorage, load_todo_tools_from_storage

class MyTodoStorage(TodoStorage):
    async def add(self, conv_id, user_id, title, list_name, msg_id) -> dict: ...
    async def list_all(self, conv_id) -> list[dict]: ...
    # ... other methods

tools = load_todo_tools_from_storage(my_storage, snapshot_callback=on_snapshot)

Protocols

For media-related capabilities, implement these protocols:

from threetears.agent.tools import (
    ImageGenerationBackend,
    MediaStorage,
    VisionProvider,
    TranscriptionProvider,
)

Document Parsing

Parse PDF, DOCX, XLSX, and plain text with optional OCR:

from threetears.agent.tools import DocumentParseError, OcrConfig, parse_document

try:
    result = await parse_document(
        data,
        "application/pdf",
        "report.pdf",
        ocr_config=OcrConfig(enabled=True),
    )
except DocumentParseError as exc:
    ...  # exc.reason is "unsupported_type" or "parse_failed"; the parser's error is exc.__cause__
# result.sections -- list of DocumentSection with heading, content, page numbers

A document that cannot be read raises DocumentParseError; its failure is never returned as the document's text.

Metadata

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