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Detalhe de post (markdown)

get_blog_post
Read-onlyIdempotent

Detalhe completo de um post do blog incluindo o corpo em markdown (convertido do PortableText do Sanity). Útil pra LLMs lerem o conteúdo na íntegra.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesSlug do post.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and closed-world, so safety is covered. The description adds a genuine behavioral detail beyond them: the content is converted from Sanity PortableText into markdown, which tells the agent what format to expect. Auth requirements and pagination are not mentioned.

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 short sentences, zero filler, with the core purpose front-loaded and the format detail following. Every clause 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?

A single-parameter, read-only fetch whose annotations and schema are complete, and which has no output schema to explain. The description covers purpose and return format adequately; only an explicit pointer to list_blog_posts would make it fully self-sufficient.

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 description coverage is 100% and only one parameter (slug) exists, so the schema fully documents the input. The description adds no slug format or example beyond what the schema provides, making the baseline 3 appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Detalhe completo de um post do blog') and clarifies the returned payload (body in markdown converted from PortableText). The detail-vs-list contrast with sibling list_blog_posts is strongly implied by 'Detalhe completo' but the sibling is never named explicitly.

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 clause 'Útil pra LLMs lerem o conteúdo na íntegra' hints at when to reach for it (need the full content rather than a listing), but no alternative tool is named and no exclusions are given. Usage is implied, not spelled out.

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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