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register_capability

Adds a new capability to the registry, validating required fields, category, and evidence sections; rejects invalid entries and returns the next action.

Instructions

機能の台帳に 1 行足す。必須欄・分類・裏づけの節が通らなければ書かずに拒否し、次の一手を返す。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
categoryYes
descriptionYes
evidence_sectionsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
acceptedYes正本に書き込んだかどうか
recordedNo登記した内容(拒否のときは空)
warningsNo書き込みは通ったが、後で直したほうがよいこと
rejectionNo受け付けなかった理由と次の一手(通ったときは None)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are present, so the description carries the burden of behavioral disclosure. It usefully reveals that failed validation leads to a refusal without writing and a 'next move' response. It does not, however, disclose success-path behavior, permission requirements, or whether entries are modifiable later, leaving important gaps.

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 compact sentences, front-loaded with the core action, then the failure behavior and resulting response. Every phrase earns its place and there is no filler.

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

Completeness2/5

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

Despite having an output schema, the definition leaves substantial gaps: no parameter semantics, no sibling differentiation, no guidance on what valid categories or evidence sections look like, and no success-path description. An agent would likely struggle to invoke this correctly without additional context.

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%, and the description only alludes to 'required fields, classification, and evidence sections' without defining the four parameters (name, description, category, evidence_sections) or their validation criteria. This partial mapping does not compensate for the absent schema-level documentation.

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 states a specific verb ('adds a row') and resource ('capability ledger'), and adds refusal behavior. It is clear, but it does not explicitly distinguish this tool from siblings such as record_positioning, so it does not reach a 5.

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 description implies the use case (registering a capability entry) and gives a conditional rule: if required fields, classification, or evidence sections fail, refuse without writing and return the next move. However, it provides no explicit guidance on when to use this tool versus the sibling tools or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.