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CSOAI-ORG

Readme Generator AI MCP

generate_badges

Generate shield.io badge markdown for GitHub repositories by specifying owner, repo, and badge types (license, version, build).

Instructions

Generate shield.io badge markdown for a GitHub repository.

Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage.

When to use: Use this tool when you need structured analysis or classification of inputs against established frameworks or standards.

When NOT to use: Not suitable for real-time production decision-making without human review of results.

Args: owner (str): The owner to analyze or process. repo (str): The repo to analyze or process. badges (str): The badges to analyze or process. version: The version to analyze or process. build": The build" to analyze or process. license_type (str): The license type to analyze or process. version (str): The version to analyze or process. api_key (str): The api key to analyze or process.

Behavioral Transparency: - Side Effects: This tool is read-only and produces no side effects. It does not modify any external state, databases, or files. All output is computed in-memory and returned directly to the caller. - Authentication: No authentication required for basic usage. Pro/Enterprise tiers require a valid MEOK API key passed via the MEOK_API_KEY environment variable. - Rate Limits: Free tier: 10 calls/day. Pro tier: unlimited. Rate limit headers are included in responses (X-RateLimit-Remaining, X-RateLimit-Reset). - Error Handling: Returns structured error objects with 'error' key on failure. Never raises unhandled exceptions. Invalid inputs return descriptive validation errors. - Idempotency: Fully idempotent — calling with the same inputs always produces the same output. Safe to retry on timeout or transient failure. - Data Privacy: No input data is stored, logged, or transmitted to external services. All processing happens locally within the MCP server process.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ownerYes
repoYes
badgesNolicense,version,build
license_typeNoMIT
versionNo1.0.0
api_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 extensively covers side effects (none), authentication (no auth required for basic, pro tier needs API key), rate limits (10/day free), error handling, idempotency, and data privacy. This is comprehensive and exceeds typical detail.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is verbose and contains redundancy. The 'Behavior' section at the top largely overlaps with the later 'Behavioral Transparency' section. The 'Args' section is a repetitive list with generic descriptions. The structure could be much more concise and front-loaded with only essential info.

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

Completeness2/5

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

While behavioral transparency is well covered, the description fails to explain parameter semantics and does not mention that the output is markdown (even though output schema exists). For a tool with 6 parameters and 0% schema coverage, the description does not provide sufficient context for an agent to correctly invoke it.

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

Parameters1/5

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

Schema coverage is 0% (no descriptions in input schema). The description's 'Args' section merely restates parameter names with the generic phrase 'The ... to analyze or process,' which adds no meaning. It fails to explain what each parameter means in the context of badge generation (e.g., owner as GitHub owner).

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's purpose: 'Generate shield.io badge markdown for a GitHub repository.' This is a specific verb+resource combination that distinguishes it from sibling tools (analyze_project, generate_readme, suggest_sections) which focus on analysis or other generation tasks.

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?

The description includes 'When to use' and 'When NOT to use' sections, but the usage guidance is generic and misaligned with the actual tool. It suggests using for 'structured analysis or classification of inputs against established frameworks,' which does not match badge generation. No alternatives are discussed relative to siblings.

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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