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gztchan

ossinsight-mcp

by gztchan

collection_ranking_by_issues

Rank GitHub repositories within a collection based on issue activity to identify projects with high engagement or support needs.

Instructions

Rank repositories in a collection by issues.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
collection_idYes
periodNo
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states what the tool does without mentioning any behavioral traits such as read-only vs. destructive, rate limits, authentication needs, or output format. This is inadequate for a tool with parameters and no 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?

The description is a single, efficient sentence with no wasted words. It is front-loaded and appropriately sized for the tool's complexity, making it easy to parse quickly.

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 tool has 2 parameters with 0% schema coverage, no annotations, and no output schema, the description is incomplete. It lacks details on parameter usage, behavioral context, and expected outputs, making it insufficient for effective agent invocation.

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

Parameters1/5

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

Schema description coverage is 0%, meaning parameters are undocumented in the schema. The description does not add any meaning beyond the schema, failing to explain what 'collection_id' or 'period' represent, their formats, or how they affect the ranking. This leaves parameters semantically unclear.

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 verb 'Rank' and the resource 'repositories in a collection by issues', making the purpose specific and understandable. However, it does not explicitly differentiate from sibling tools like 'collection_ranking_by_prs' or 'collection_ranking_by_stars', which rank by different metrics, so it misses 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. It does not mention sibling tools like 'collection_ranking_by_prs' for pull requests or 'list_collection_repositories' for a simple list, leaving the agent without context for selection.

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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