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guille-gallo

MCP GitHub Validator

by guille-gallo

validate_repo

Validate a single GitHub repository against React best practices and domain pattern rules, returning pass/fail results with suggestions for each rule.

Instructions

Validate a single GitHub repository against React best practices and domain pattern rules. Returns pass/fail for each rule with suggestions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ruleIdsNoSpecific rule IDs to run
repoNameYesName of the repository to validate
categoriesNoFilter rules by category
Behavior3/5

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

No annotations exist, so the description carries full burden. It discloses that the tool runs validation rules and returns pass/fail per rule with suggestions, which is the core behavior. However, it doesn't disclose whether validation triggers side effects, requires network access/auth, has rate limits, or whether results are cached. For a validation tool this is reasonably transparent but not exhaustive.

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 sentences, zero waste. States the operation, scope, and output format efficiently. Every word earns its place.

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

Completeness4/5

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

The tool is moderate complexity (three params, validation logic), but with 100% schema coverage and no output schema to document, the description covers the essentials: what it does and what it returns. It could mention how to restrict which rules run (via ruleIds/categories), but the schema already documents those. Slightly incomplete for a validation tool that might have nuanced behavior, but adequate.

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 coverage is 100%, so the baseline is 3. The description mentions 'best practices and domain pattern rules' which hints at what categories/ruleIds might correspond to, but doesn't explain the relationship between ruleIds and categories (e.g., whether they're mutually exclusive or combinable, or what format rule IDs take). Schema descriptions already cover each parameter's basic meaning, so the description adds minimal extra value.

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 verb (Validate), the resource (single GitHub repository), the scope (React best practices and domain pattern rules), and the outcome (returns pass/fail with suggestions). It effectively distinguishes itself from sibling tools: validate_all_repos (plural validation) and the read-only get_repo_structure/list_react_repos 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 phrase 'single' explicitly signals this is for one repository at a time, distinguishing it from validate_all_repos. The description implies this runs rule-based checks vs structural inspection (get_repo_structure), but it doesn't explicitly name alternatives or provide exclusions (e.g., 'use validate_all_repos for bulk' or 'do not use for structural inspection').

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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