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Read-onlyIdempotent

Copy and checks of one micro-tool by slug (e.g. title-tag-checker).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYestool slug
languageNoContent language: pt (also pt-BR) for Portuguese; any other value or none returns English.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / language
      Added value: +{
      +  "description": "Content language: pt (also pt-BR) for Portuguese; any other value or none returns English.",
      +  "enum": [
      +    "en",
      +    "pt"
      +  ],
      +  "type": "string"
      +}
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and a closed-world scope, so safety is covered structurally. The description adds only the 'Copy and checks' framing about what is being returned, which hints at output content but does not say what happens for an unknown slug or how large the payload is.

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?

A single, front-loaded sentence with no filler. It is efficient, though the phrasing 'Copy and checks of one micro-tool' is slightly ambiguous and could be tighter.

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?

For a simple two-parameter read tool with no output schema, the description is minimally adequate: it identifies the resource and identifier. It leaves gaps on failure behavior for invalid slugs and on what the returned copy/checks actually contain, which would help an agent interpret results.

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 both parameters carry their own descriptions, including the language fallback behavior, so the schema does the heavy lifting. The description's example slug ('title-tag-checker') is a useful format hint that the terse schema label 'tool slug' does not provide, keeping it at the baseline 3.

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?

The description names a specific resource ('one micro-tool by slug') and gives a concrete example identifier ('title-tag-checker'), so an agent understands it fetches a single tool definition. It stops short of distinguishing itself from the sibling list_tools, which enumerates tools, so it stays at 4 rather than 5.

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?

There is no statement of when to use this tool versus alternatives such as list_tools, nor any precondition (e.g. that the slug must already exist). The example slug implies a lookup pattern but provides no routing guidance.

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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