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Glama
tutul
by tutul

search_posts

Read-only

Search published blog posts with full-text queries to locate specific content. Provide a blog ID and query string to retrieve matching posts, optionally including post bodies.

Instructions

Full-text search over the published posts of a blog.

Note this only covers live posts; drafts are not indexed. To find a draft, use list_posts with status="DRAFT".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
blog_idYes
fetch_bodiesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

The description discloses an important behavioral boundary beyond annotations: only live/published posts are indexed and drafts are excluded. This adds meaningful context beyond readOnlyHint and openWorldHint, and there is no contradiction with annotations.

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, information-dense sentences. The first states what the tool does, and the second immediately provides the critical exclusion and alternative. There is no filler or redundant wording.

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

Completeness3/5

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

The scope and draft-handling guidance are strong, and the output schema reduces the need to describe return values. However, the bare input schema and lack of parameter explanation for fetch_bodies and query leave meaningful gaps for correct invocation.

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

Parameters2/5

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

Schema description coverage is 0%, so the description needed to explain blog_id, query, and fetch_bodies. 'Full-text search' hints at the meaning of query, but blog_id and fetch_bodies receive no semantic explanation, leaving an agent to infer their roles from names and types alone.

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 states a clear verb and resource: 'Full-text search over the published posts of a blog.' It also differentiates itself from list_posts by explicitly noting drafts are not indexed and pointing to the alternative, so an agent can distinguish sibling tools confidently.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says when not to use it: drafts are not covered. It then names the alternative, list_posts with status="DRAFT", providing clear routing between search_posts and list_posts.

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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MCP directory API

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/tutul/blogger-mcp'

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