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

Goes well beyond the annotations by disclosing the two-phase confirmation protocol: the first call changes nothing and returns a question plus confirmToken, and the second call must reuse that token. It also surfaces the quota cost (one manual check from the monthly allowance) and the external side effect, all consistent with destructiveHint=true, idempotentHint=false, and openWorldHint=true.

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?

Purpose and preconditions are front-loaded in the first two paragraphs, and the confirmation mechanics follow in logical order. It loses a point for restating the quota cost twice, once as 'one manual check from the monthly allowance' and again as 'one visibility check from the workspace's plan.'

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?

With no output schema, the description takes on the burden and does explain the first-call return shape (a question plus confirmToken). It stops short of describing what a successful confirmed run returns, though the two-phase protocol it does explain is the part an agent most needs.

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 coverage is 100%, so the schema already documents reason, workspaceId, and confirmToken; the description still adds real semantics for confirmToken by stating it must come from a prior answer and must never be invented. The reason parameter's intent is only echoed ('why fresh data is needed'), not expanded.

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 and resource: 'Run a fresh AI visibility check across every tracked prompt.' The scope ('every tracked prompt') and the gating condition ('waits for approval') separate it from the read* siblings such as readPerceptions or readAnswers, which serve existing data rather than triggering a new run.

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?

Gives a clear trigger ('when the current data is too old to act on') and an explicit exclusion ('Only for a workspace that tracks its AI visibility (it has tracked prompts)'). It does not name a specific alternative sibling for the case where data is fresh, so routing in that direction is left implicit.

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