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detect_communities

Idempotent

Identifies tightly-coupled file clusters by running Leiden community detection on the dependency graph, outputting communities and modularity.

Instructions

Run Leiden community detection on the file dependency graph. Identifies tightly-coupled file clusters (modules). Mutates the community index (stores results); idempotent. Deterministic — same seed produces identical assignments across runs. Use before get_communities or get_community. Returns JSON: { communities: [{ id, files, size }], modularity, seed }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
resolutionNoResolution parameter — higher values produce more communities (default 1.0)
seedNoPRNG seed for the Leiden node-shuffle. Same seed reproduces identical community IDs across runs. Default 0.
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Describes mutation of community index, idempotency, and determinism with seed, adding behavioral context beyond annotations. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences covering purpose, behavior, usage, and return format, with no superfluous information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema, but return format is described. All key aspects (purpose, behavior, params, usage order, idempotence, determinism) are covered.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and description provides additional context like 'higher values produce more communities' for resolution and PRNG seed detail for seed. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool runs Leiden community detection on the file dependency graph to identify tightly-coupled file clusters (modules). It distinguishes itself from sibling tools like get_communities and get_community.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says to use before get_communities or get_community, providing a clear ordering. However, it doesn't discuss alternatives or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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