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blog_publish_post

Save finalized Markdown and frontmatter to S3, then trigger a GitHub Actions build to publish a blog post. Slug defines the URL path.

Instructions

AI 補正済みの markdown と frontmatter を S3 に保存し、GitHub Actions ビルドを発火させて公開する。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesURL slug for the post (alphanumeric, hyphens, underscores)
markdownYesFinalized Markdown content (after preview correction)
frontmatterYes
Behavior2/5

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

No annotations provided. The description mentions side effects (S3 save, build trigger) but lacks details on mutability, overwrite behavior, prerequisites (e.g., slug uniqueness), or error conditions.

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

Conciseness4/5

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

Single sentence, concise, and front-loaded with the core action. However, it could be structured with separate clauses for storage and trigger.

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?

Given no annotations, no output schema, and a 3-parameter tool, the description is incomplete. It omits return value, success/failure indicators, concurrency considerations, and any post-conditions.

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?

The input schema covers parameters with reasonable descriptions; 'slug' and 'markdown' are well explained. The description adds context that the markdown is 'AI corrected', but does not add significant semantic detail 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 action: saving AI-corrected markdown and frontmatter to S3 and triggering a GitHub Actions build for publication. It differentiates from sibling tools (delete, get, list, preview) by focusing on the publish workflow.

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?

No explicit guidance on when to use this tool versus alternatives (e.g., preview vs. publish). The description only explains what it does, not when to invoke it.

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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