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communities

Detect code communities and clusters using graph connectivity analysis to identify groups of related code.

Instructions

Detect code communities/clusters using graph connectivity analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
min_sizeNoMinimum community size to show
project_idYesProject ID
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only mentions graph connectivity analysis, but fails to disclose behavioral traits such as whether it is read-only, any side effects, or data requirements. Minimal context beyond the basic operation.

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?

Single sentence with 9 words. It is front-loaded and concise, with no wasted words. Perfect conciseness.

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

Completeness2/5

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

Given the complexity of community detection and many sibling tools, the description is too brief. It lacks explanation of what constitutes a community, expected output, or relationship to other graph tools. With no output schema, more detail is needed for an agent to use it correctly.

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 coverage is 100%, so baseline is 3. The description adds no additional meaning beyond the schema; the schema already documents project_id and min_size. No extra value.

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

Purpose4/5

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

The description clearly states the tool detects code communities/clusters using graph connectivity analysis. The verb 'detect' and resource 'code communities/clusters' are specific, but it does not differentiate from sibling tools that may also perform graph analysis (e.g., query_graph, search_graph).

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives. The usage is implied (for detecting communities), but there is no explicit context, prerequisites, or exclusions.

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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