Interloper shared read-only tool functions for AI surfaces (agent, MCP)
Project description
interloper-toolkit
The read-only tool functions shared by interloper's AI surfaces — the ADK
chat agent (interloper-agent) and the MCP server (interloper-mcp).
Every function takes a frozen ToolkitContext(store, catalog, org_id) as its
first argument and returns <SuccessModel> | ToolError — typed pydantic
results (see models.py) discriminated by the literal status field, never
raising. The models are the tool contract: MCP derives per-tool output
schemas from them, row-projecting models act as an allowlist of what leaves
the platform, and full-row payloads embed the interloper-db models to keep
that coupling visible rather than duplicated. The docstrings are LLM-facing:
both consumers surface them verbatim as tool descriptions.
Modules:
catalog— the component definitions the platform ships (list, detail, asset schemas, field search, schema comparison)collection— the org's component instances (read-only listing; sensitive kinds project identity/metadata only)lineage— dependency analysis, impact assessment, DAG traversalscheduling— jobs, runs, and backfills: read-only monitoringanalytics— run statistics, partition coverage, data freshness
Mutating operations (trigger/toggle/create) deliberately live with the agent, not here — this package is safe to expose on read-only surfaces.
Depends only on interloper-core and interloper-db; no LLM-framework
dependencies (no google-adk, no mcp).
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