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Show Polyblog blog overview

show_blog_overview
Read-onlyIdempotent

Render a compact overview for a known Polyblog blog, including its domain, locales, and up to ten recently edited articles.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
blogIdYesPolyblog blog id to render, at most 200 characters

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
blogYes
articlesYes
hasMoreArticlesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • removedInput schema / additionalProperties
      Removed value: -false
    • changedOutput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is established. The description adds the return-content scope ('domain, locales, and up to ten recently edited articles') but does not disclose error behavior, permission requirements, or output format details. This is adequate but not rich beyond the 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?

The description is a single, well-structured sentence that front-loads the action and resource, then specifies the output scope. Every part contributes value, and there is no redundant or filler content.

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?

Given the tool's simplicity (one required parameter, full schema coverage, and an output schema), the description is sufficiently complete. It names the key content elements an agent needs to understand what the overview contains, and the output schema handles return-value details.

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 coverage is 100% and the sole required parameter, blogId, is already described as 'Polyblog blog id to render, at most 200 characters.' The tool description does not add new meaning beyond the schema, so the baseline of 3 applies.

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 uses a specific verb ('Render') and a specific resource ('compact overview for a known Polyblog blog'), and it enumerates the included content (domain, locales, up to ten recently edited articles). This clearly differentiates it from siblings like get_blog or get_blog_localization_summary by focusing on the compact overview rendering purpose.

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?

The description implies a prerequisite by saying 'known Polyblog blog,' but it offers no explicit guidance on when to choose this tool over alternatives such as get_blog or get_blog_localization_summary. There are no stated exclusions or comparison points with sibling tools, leaving the agent to infer usage 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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