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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is covered. The description adds genuinely non-redundant behavior: the return payload is a step-by-step walkthrough of screens, buttons and fields, and the tool performs no side effect and opens no browser page by itself, plus the API-key gating constraint. It stops short of describing output shape or length.

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 opening clause 'from ChatGPT, Claude or any AI agent' is marketing padding that also misstates the action, and the trailing API-key sentence carries a parenthetical verification date that does little for invocation decisions. The operative content — returns a walkthrough, performs nothing, then use cotlet_browser_* — is present but buried after the filler.

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 zero-parameter, no-output-schema guidance tool, the definition covers what an agent needs: it says what comes back, that nothing is executed, and which tool family does the execution. The residual gap is how the target job is identified with no inputs.

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 input schema declares zero properties, so there are no parameter semantics to explain; the baseline for a zero-parameter tool is 4. The notable omission is that the description never addresses how the tool knows which job to close given no parameters, which an agent would reasonably wonder about.

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 names a specific verb+resource (close job in Recruiterflow) but immediately redefines the tool's real function: it returns step-by-step instructions and 'opens nothing by itself'. That correction is what makes the purpose unambiguous, though leading with 'Close job in the user's own... account' invites a misread of an instruction-returning tool as a mutation tool.

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 explicitly routes execution to the cotlet_browser_* tools in the Recruiterflow Cloud Browser, and explains why the official Recruiterflow API is not usable here (keys are not self-serve, must be requested from support). That is real when/how guidance, but it does not state a when-not condition or point at any recruiterflow_* sibling for the underlying job data.

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