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

The annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description nonetheless adds real value by saying it 'opens nothing by itself' and returns a procedural guide, which prevents an agent from assuming the status was actually changed. The trailing note about JobAdder's REST API not covering every account is vague ('checked 22 Oct 2026') and does not translate into actionable behavior.

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, but the sentence is a clunky run-on built around a semicolon, and phrases like 'from ChatGPT, Claude or any AI agent' and the dated API caveat add words without adding decision value. Tightening to two crisp sentences would improve it materially.

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 guide tool with no output schema, the description covers what is returned (screens, buttons, fields) and what happens next (browser tools). It leaves an important gap: nothing explains how the tool determines which application or target status is meant when no inputs exist, which is the main ambiguity an agent would hit.

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 and the schema is empty at 100% coverage, so there is no parameter meaning for the description to add. Baseline 4 applies; the description neither misleads about inputs nor invents any.

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 states the resource and the action clearly (application status in JobAdder) and, crucially, clarifies that the tool returns a step-by-step guide rather than performing the change itself. That distinguishes it from the browser tools that do the actual work. It stops short of 5 because it never says which application or which statuses are in scope, and with zero parameters the agent has to infer that this is handled conversationally.

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 gives a clear two-step workflow: call this to get the JobAdder screens/buttons/fields, then perform it with cotlet_browser_* in the JobAdder Cloud Browser. What is missing is any exclusion or routing rule against related siblings such as cotlet_app_guide or jobadder_rate_application, so the agent has context but no explicit when-not.

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