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读取 GitHub AI 热榜

github_trending
Read-onlyIdempotent

返回站内保存的 AI 项目日榜或周榜及快照更新时间,不是实时抓取。

Input Schema

NameRequiredDescriptionDefault
limitNo
offsetNo
periodYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so safety is covered. The description adds genuinely new behavioral context beyond them: the data is a stored snapshot, not a live crawl, and each response carries the snapshot update time so the agent can judge staleness.

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?

A single front-loaded sentence that states what is returned, the freshness caveat, and the snapshot timestamp. Nothing is padded and the most important constraint (not real-time) lands immediately.

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

Completeness3/5

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

For a small three-parameter read tool with no output schema, this covers the essentials — return content and freshness are stated. But with no schema descriptions and no output schema, the agent still lacks any explanation of the limit/offset pagination semantics, which is a real gap.

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 carries the burden, yet it only maps the period concept to 'daily or weekly' and says nothing about limit or offset. Pagination range and default behavior for the two undocumented parameters are left entirely for the agent to guess.

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 names a specific verb and resource: it returns the saved AI project daily or weekly ranking plus the snapshot update time. It clearly distinguishes this from a live-scrape tool, though it never references the sibling tools (list_news, list_reports, search_library), so the agent must infer the boundary from the resource name alone.

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

Usage Guidelines3/5

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

There is no explicit 'use this when...' or 'use X instead' guidance relative to the siblings. The usage is implied by the resource (fetch the trending list) and by the caveat that data is cached rather than live, which tells the agent what to expect but not when to prefer another tool.

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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