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scottmartinanderson

Clearfront MCP Server

search_github

Retrieve GitHub profile details, recent repos, associated emails, and public code exposures for a given username, email, or keyword.

Instructions

Search GitHub for a username, email, or keyword. For exact username matches: returns full profile, recent repos, and emails discovered from commit history. For other queries: top 5 matching accounts. With a GITHUB_TOKEN it also searches public code for secrets/keys tied to the target, reported as exposure (location and type only, never the value). Optional GITHUB_TOKEN env var raises rate limit from 60 to 5000 req/h. Authorized use only: your own assets or a target you are authorized to assess. Passive, public-source collection.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
json_outputNoReturn result as structured JSON.
Behavior5/5

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

No annotations are provided, so the description carries full burden. It discloses return types, secret/key search with token, rate limits, and passive nature. No destructive or contradictory behavior is implied.

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?

Six sentences, front-loaded with core purpose, then details in logical order. No wasted words.

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

Completeness5/5

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

No output schema, so description must explain returns. It does: full profile/repos/emails for exact username, top 5 accounts otherwise, plus secrets/keys search. Also covers rate limit and authorization.

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

Parameters5/5

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

Schema has 2 params with only json_output described. Description adds rich context for query (accepts username, email, keyword) and explains behavior based on query type, compensating for meaning beyond the schema.

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?

The description clearly states the tool searches GitHub for a username, email, or keyword, and it differentiates behavior for exact username matches vs other queries. This verb+resource combination is specific and distinguishes it from sibling search tools.

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?

The description explains when to get full profile vs top 5 matches, and includes an authorization note. It does not explicitly contrast with sibling tools like search_username, but the context signals provide differentiation.

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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