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gztchan

ossinsight-mcp

by gztchan

collection_ranking_by_stars

Rank GitHub repositories within a collection by star count to identify popular projects and analyze trends over time.

Instructions

Rank repositories in a collection by stars.

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. It states the ranking action but lacks details on permissions, rate limits, output format, or whether it's a read-only operation. For a tool with two parameters and no annotation coverage, this is insufficient for safe and effective use.

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 unnecessary words. It is front-loaded with the core action, making it easy to parse quickly, though this conciseness comes at the cost of completeness.

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 (2 parameters, no annotations, no output schema), the description is incomplete. It doesn't cover parameter semantics, behavioral traits like output format or error handling, or usage context, making it inadequate for reliable tool invocation by an AI agent.

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?

Schema description coverage is 0%, so the description must compensate for undocumented parameters. It mentions 'collection' and 'stars', which loosely relate to 'collection_id' and the ranking metric, but doesn't explain the 'period' parameter at all or provide details on parameter formats or constraints, leaving significant gaps.

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 the resource ('in a collection by stars'), making the purpose immediately understandable. It distinguishes from siblings like 'collection_ranking_by_issues' by specifying the ranking metric (stars), though it doesn't explicitly mention how it differs from other ranking tools beyond the metric.

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 doesn't mention prerequisites, such as needing a valid collection_id, or compare it to siblings like 'list_collection_repositories' or 'list_hot_collections', leaving the agent to infer usage context.

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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