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Talljack

MCP Server Trending

by Talljack

get_github_trending_repos

Find trending GitHub repositories by filtering with programming language, time range, and spoken language.

Instructions

Get GitHub trending repositories. Supports filtering by programming language and time range. Use this when user asks about popular/trending/hot repos on GitHub.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
time_rangeNoTime range for trending data. Use 'daily' for today/24h, 'weekly' for this week/7 days/past week, 'monthly' for this month/30 days/past month. Default is daily.daily
languageNoProgramming language filter. Examples: 'python', 'javascript', 'typescript', 'go', 'rust', 'java', 'c++', 'c#', 'ruby', 'php', 'swift', 'kotlin'. Leave empty for all languages.
spoken_languageNoSpoken/natural language filter. Examples: 'en' for English, 'zh' for Chinese, 'ja' for Japanese, 'ko' for Korean, 'es' for Spanish. Leave empty for all.
use_cacheNoWhether to use cached data. Set to false for real-time fresh data.
Behavior2/5

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

No annotations provided. Description does not disclose behavioral traits beyond what's in schema. Lacks info on rate limits, caching (though parameter exists), or read-only nature.

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?

Two concise sentences, front-loaded with purpose and usage. No extraneous information.

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?

No output schema, but tool is simple. Description covers purpose and basic filtering but lacks output format details and behavioral context.

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 description coverage is 100%, so baseline is 3. Description adds 'Supports filtering by programming language and time range' which repeats schema but no additional meaning.

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

Purpose5/5

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

Clearly states the verb 'Get' and resource 'GitHub trending repositories'. Distinguishes from sibling 'get_github_trending_developers' by specifying 'repos'.

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

Usage Guidelines4/5

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

Explicitly says when to use: 'when user asks about popular/trending/hot repos on GitHub'. Does not provide when-not-to-use or alternatives, but clear 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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