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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description still adds real value beyond them: it states that nothing is opened or changed ("opens nothing by itself"), that the return value is human-readable procedure, and that no official API exists, which explains why a browser-driving follow-up is required. Return format details (length, structure of the steps) remain unstated.

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 mechanics are front-loaded, which is good. But the lead phrase "from ChatGPT, Claude or any AI agent" is marketing filler that does not help selection, and the dated API-absence footnote ("checked 12 Oct 2026") consumes space without changing how an agent invokes the tool. Two of the three sentences carry most of the value.

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, read-only guidance tool with annotations but no output schema, the description supplies what an agent needs: what comes back (screens, buttons, fields), that no side effect occurs, and what to do next. Minor gaps are whether it requires the user to be signed in and what the guidance looks like when the account state is unknown.

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 semantics to mis-specify, and the baseline for a zero-parameter tool is 4. The description correctly implies that all targeting information is conveyed in the returned instructions rather than through inputs.

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 and resource ("Search Offers in the user's own PeoplePerHour account") and immediately clarifies the crucial twist that the tool returns step-by-step guidance rather than performing the search itself. It is distinguishable from the browser siblings it names. It does not, however, differentiate itself from adjacent PeoplePerHour siblings such as peopleperhour_get_offer or peopleperhour_search_projects, which share the same domain vocabulary.

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?

Usage is implied through the workflow: call this first to get screens/buttons/fields, then execute with cotlet_browser_* tools in the PeoplePerHour Cloud Browser. That sequencing is genuinely useful. There is no explicit "when not to use this" or comparison against other PeoplePerHour tools that might answer a query directly.

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