confirm

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

No annotations are provided and the description contributes nothing about side effects, authentication, rate limits, or what gets modified. With zero behavioral disclosure, the agent cannot anticipate any consequences of calling this tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short but this is under-specification rather than conciseness. There is no content to structure or front-load; a single word that repeats the name is not a useful description.

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

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

For a tool with 24 parameters, 7 required, enums, and no output schema, the description is completely inadequate. An agent would have to guess at the semantics of every parameter and the expected behavior, making correct invocation virtually impossible.

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

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

The description adds no meaning beyond the input schema. With 24 parameters and 0% schema description coverage, the description fails to compensate for undocumented parameters. Required fields like repository_id, target_commit, mapping_id, expected_version, status, actor, and evidence_refs are entirely unexplained in the description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Tautological: description restates name/title.

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

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

There is no guidance on when to use this tool versus alternatives. No conditions, no exclusions, no mention of related tools. The agent is left completely in the dark about which 'confirm' operation this is among the many confirm-like siblings.

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