approve_optimizer_suggestion

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

With no annotations, the description carries the full burden and does well: it discloses required scopes (content:approve, content:publish), a side effect (automatic CMS writeback), and differing behavior per suggestion type (topic suggestions only create a query). It omits reversibility/undo behavior and failure modes, but the permission and side-effect disclosure is strong.

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?

Three compact sentences, front-loaded with the primary action and permission gate. Each sentence adds distinct information (base requirement, conditional CMS requirement, topic-suggestion exception) with no redundancy.

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?

An output schema exists, so return values need not be explained. The description covers the permission model and per-type behavior, which is the key context for this mutation tool. It could still mention reversibility given the sibling undo/reject tools, but overall it is sufficiently complete.

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?

Schema description coverage is 0% and there is one required parameter (suggestion_id), yet the description says nothing about it — not its format, nor that it should come from list_optimizer_suggestions. The description fails to compensate for the coverage gap.

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?

States a specific verb+resource ('Apply an optimizer suggestion') and elaborates on the different outcomes depending on suggestion type. It does not explicitly name which siblings it is not (reject_optimizer_suggestion, undo_optimizer_suggestion), but the action is 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?

Provides useful conditional guidance on when different permission requirements apply (snippet/link vs topic suggestions), which implicitly frames when the tool acts directly on CMS versus just creating a query. However, it never says when to use this over reject_optimizer_suggestion or undo_optimizer_suggestion, so alternative selection is left to inference.

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