generate_test_data

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

No annotations are provided, so the description carries the burden. It helpfully discloses that the tool has no browser side effects and that its output is editable data, but it says nothing about determinism guarantees, error behavior on invalid schemas, or the shape of the returned values.

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?

A single front-loaded sentence that pairs the action with its key constraint and benefit; no filler or redundancy.

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 does explain what the agent gets back (reviewable/editable data) and where the input schema comes from. It is largely complete for this tool, though a note on output format or failure modes would close the remaining gap.

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 description coverage is 100%, with seed, schema, and overrides all documented in the schema itself, so the baseline is 3. The description adds no parameter-level detail beyond what the schema already states (e.g., how seeds interact with overrides).

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 (generate) and resource (realistic, valid test data for a form schema), and scopes the data source as the output of inspect_form. It also implicitly separates itself from fill_and_submit by stressing that it works without touching the browser.

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?

The 'without touching the browser — lets the agent review/edit data before submitting' clause gives a clear workflow context: use this to preview data ahead of fill_and_submit. It does not explicitly name fill_and_submit as the alternative or state exclusions, so it falls short of a 5.

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