Approve conclusion

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

Annotations already cover read-only, destructiveness, and idempotency, but the description adds 'atomic and auditable' traits that are not in the annotations. This provides useful behavioral context beyond the structured metadata.

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?

Two sentences with no waste. The core action is front-loaded, and the optional correction detail follows naturally. The structure is tight and efficient.

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 six parameters and no output schema, the description is too thin. It omits required parameter semantics (especially id), optional fields like note and decidedBy, and any error or edge-case behavior. The low schema coverage makes this a significant gap.

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?

With 0% schema description coverage, the description must compensate for parameter meaning. It mentions 'text or tags' but leaves id, note, decidedBy, and namespace unexplained. This is a partial but insufficient compensation for a 6-parameter tool.

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?

The description clearly states the action ('Approve') and the resource ('one pending conclusion'), and distinguishes it from siblings like reject_conclusion or list_pending_conclusions. It also notes optional corrections, making the purpose specific and unambiguous.

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?

It implies when to use it (to approve a pending conclusion) but does not explicitly state when not to use it or name alternatives such as reject_conclusion or create_conclusion. The guidance is clear but not explicit about exclusions.

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