Skip to main content
Glama

blog_get_post

Fetch a blog post by slug from S3, returning its Markdown body and frontmatter. Intended for editing workflows: retrieve, edit, then publish the updated post.

Instructions

指定したスラグの記事を S3 から読み出し、Markdown 本体と frontmatter を返す。編集ワークフロー (取得→修正→blog_publish_post で上書き) で使う。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesSlug of the post to fetch
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses the source (S3), that it's a read operation with no side effects, and the return content. Could be more explicit about error handling or missing slugs.

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 efficiently convey action, resource, and workflow context. No wasted words.

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?

Adequate for a simple read tool: describes purpose, source, return content, and usage pattern. Without output schema, could detail return structure more, but 'Markdown body and frontmatter' provides sufficient guidance.

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 covers the single parameter with a description. The description repeats the concept of 'specified slug' without adding new semantics 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?

Description clearly states the action (read article from S3), what it returns (Markdown body and frontmatter), and its role in the edit workflow, distinguishing it from siblings like blog_list_posts.

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?

Explicitly states the tool is part of an edit workflow (fetch->modify->overwrite), giving clear usage context. However, it does not explicitly mention when not to use it.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/MasatoshiSano/mcp-blog'

If you have feedback or need assistance with the MCP directory API, please join our Discord server