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fitzypopper

osint-mcp-server

by fitzypopper

Github Commit Emails

github_commit_emails
Read-onlyIdempotent

Extract email addresses from a user's public GitHub events to uncover contact details for open-source intelligence investigations.

Instructions

Extract email addresses from a user's public GitHub events.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usernameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the 'public' and 'events' scoping, which is useful, but it does not explain behavior beyond that, such as reliance on commit event payloads or limitations of public event data.

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, front-loaded sentence with no filler or redundant repetition of the tool name. It conveys the essential purpose efficiently.

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 simple one-parameter, read-only tool with an output schema and rich annotations, the description is mostly adequate. However, it lacks usage guidance and a caveat that 'events' likely refers to commit-bearing events, leaving some ambiguity for an 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 should compensate, but it does not meaningfully explain the username parameter beyond the schema's property name. It only implies 'a user's' events without specifying format, GitHub-specific requirements, or examples.

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 uses a specific verb ('Extract') and names both the resource ('email addresses') and the source ('a user's public GitHub events'). This clearly differentiates it from siblings like github_user_info, github_user_repos, and github_repo_commits, which do not extract emails from user events.

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. While the sibling list includes several relevant tools (email_permutations, domain_email_search, github_user_info), the description gives no exclusions, conditions, or routing hints.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.