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h-kazuki-pixel

release-announcer-mcp

Check publish readiness

check_publish_readiness
Read-onlyIdempotent

Runs a pre-publication checklist on a public GitHub repository, reporting pass/warn/fail per item. Checks include LICENSE, README, release, topics, description, and .gitignore.

Instructions

Run a pre-publication checklist against a public GitHub repository and report pass/warn/fail per item.

Checks: LICENSE present (MIT expected), README present with setup instructions and usage examples, GitHub Release created, 3+ Topics set, About description set, .gitignore present.

Args:

  • owner (string): GitHub user/org name

  • repo (string): repository name

Returns: a Markdown checklist report plus structured JSON ({ repo, passed, total, items: [{id, label, status, detail}] }). Each failing item includes a concrete fix suggestion.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoYesRepository name, e.g. 'jp-dates-mcp-server'
ownerYesGitHub user or organization name, e.g. 'h-kazuki-pixel'
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds value by specifying the tool operates on a public repo, returns a structured checklist report with fix suggestions, and confirms no mutation. No contradictions.

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 well-structured with bullet points for checks, clear argument listing, and explicit return format. Every sentence is informative and necessary, with no redundancy.

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?

Despite no output schema, the description fully details the return format (Markdown checklist plus structured JSON with item details). Combined with annotations and schema, the definition is complete for agent usage.

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?

Parameter descriptions in the input schema are already detailed (maxLength, minLength, and descriptions). The description's 'Args' section repeats this information without adding deeper semantics, so baseline 3 is appropriate.

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 it runs a pre-publication checklist against a public GitHub repository, listing specific checks. It distinctly separates from sibling tools like fetch_repo_info and build_announcement_brief.

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 explicitly states the use case (pre-publication readiness check) and lists what checks are performed. However, it does not specify when to avoid using this tool or provide direct alternatives beyond sibling 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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