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gztchan

ossinsight-mcp

by gztchan

collection_ranking_by_prs

Rank GitHub repositories within a collection by their pull request activity to identify top contributors and project engagement levels.

Instructions

Rank repositories in a collection by pull requests.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
collection_idYes
periodNo
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure but only states the ranking action without details on output format, ranking order (e.g., ascending/descending), handling of ties, or any rate limits or permissions needed. This leaves significant gaps in understanding how the tool behaves beyond its basic function.

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?

The description is a single, efficient sentence that directly states the tool's purpose without any fluff or redundancy. It's appropriately sized and front-loaded, making it easy to parse quickly, though this conciseness comes at the cost of missing additional helpful details.

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 a ranking operation with 2 parameters, 0% schema coverage, no annotations, and no output schema, the description is incomplete. It fails to address key aspects like parameter meanings, output structure, or behavioral traits, making it inadequate for the agent to fully understand and correctly invoke the tool.

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

Parameters2/5

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

The schema has 0% description coverage, so the description must compensate but adds no information about parameters. It doesn't explain what 'collection_id' refers to, what 'period' means, or their expected formats, leaving both parameters semantically unclear despite the schema defining their types and constraints.

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 action ('Rank repositories') and resource ('in a collection') with the specific criterion ('by pull requests'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from its sibling 'collection_ranking_by_issues' or 'collection_ranking_by_stars' beyond the pull request focus, missing full sibling distinction.

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?

The description provides no guidance on when to use this tool versus alternatives like other ranking tools or list tools. It doesn't mention prerequisites, context, or exclusions, leaving the agent to infer usage from the name alone without explicit direction.

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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