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Robozukan (ロボ図鑑)

レーティング基準

get_rating_criteria
Read-only

AI接続性(AI-0〜AI-5)と自律度(1〜3)の判定基準を返す。数値の意味を説明するときに使う。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is covered. The description adds that the returned criteria cover two specific rating scales, but it does not describe the output format or whether the criteria are exhaustive, leaving a modest gap.

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 tightly written sentences with no filler. The core function is front-loaded, and the usage note follows immediately after.

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?

For a zero-parameter reference lookup with no output schema, the description identifies the two rating dimensions and the intended use case. It is sufficient for an agent to call correctly, though it stops short of describing the exact return shape, which is a minor omission.

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

Parameters4/5

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

The tool takes zero parameters, which is the baseline for a score of 4. There are no parameter semantics for the description to add 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?

The description states a specific verb and resource: it returns the judgment criteria for AI connectivity (AI-0–AI-5) and autonomy level (1–3). The scope is unambiguous and the sibling tools (get_device, list_guides, search_devices) cover unrelated domains, so no differentiation is needed.

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?

It explicitly says to use this tool when explaining the meaning of the numeric ratings. That is clear usage context, and there is no competing sibling tool for rating criteria, but it offers no when-not or alternative guidance beyond this.

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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