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

Consistent with the annotations (readOnlyHint=true, destructiveHint=false) and adds genuinely non-obvious behavior: the tool opens nothing by itself and returns procedural guidance only, so no state changes until the browser tools are used. That is exactly the kind of context annotations cannot convey. It does not describe the shape or length of the returned steps, but the annotations already lower the bar.

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 core message is front-loaded and clear, but the opening clause "from ChatGPT, Claude or any AI agent" is filler, and the trailing API note is long relative to the tool's single purpose. The dated check ("checked 23 Oct 2026") reads as meta-commentary rather than task-relevant guidance.

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 tool, the description covers what is returned (screens, buttons, fields) and what to do next, which is the essential information. The one unresolved gap is how the tool knows which candidate is being disqualified when it accepts no parameters — presumably from conversation context, but this is never stated.

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 tool takes zero parameters, so there is no parameter meaning to add; baseline for a parameterless schema is 4. Nothing in the description conflicts with the empty schema.

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 ("Disqualify candidate in the user's own Recruiterflow account") and immediately clarifies the unusual nature of the tool: it returns step-by-step UI instructions rather than performing the disqualification. That distinction is valuable and prevents an agent from assuming a side effect. It does not explicitly differentiate itself from guide-style siblings such as cotlet_app_guide or from move_candidate_to_stage, so it stops short of a 5.

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 usage path: call this to get the screens/buttons/fields, then execute with cotlet_browser_* in the Recruiterflow Cloud Browser. It also pre-empts the obvious alternative (Recruiterflow's official API) by explaining the keys are not self-serve. There is no explicit when-not-to-use guidance or comparison to other Recruiterflow write tools, so it is strong but not complete.

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