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

No annotations are provided, so the description carries the full behavioral burden. It does disclose the content of the return payload (the field metadata attributes), which is the main behavioral fact for a read-only lookup. But it says nothing about response shape/structure, ordering, whether results are static, or any auth/caching 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?

Two sentences, front-loaded with the resource and the returned attributes, with the workflow instruction placed second. Every clause carries information; the only nit is that the submit_enquiry routing sentence blends usage instruction into an otherwise descriptive definition.

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?

Since there is no output schema, the description must convey the return content, and it does so adequately by enumerating the field metadata. For a zero-parameter read lookup it is nearly complete, though it omits any note on response format or how the returned options constrain valid answers.

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 input parameters, so there is no per-parameter meaning to add and the baseline is 4. The description's reference to 'field key' usefully explains the key concept reused by submit_enquiry, but that is an output/adjacent-tool concept rather than an input parameter.

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 the specific resource (every field of the PPC marketing company enquiry) and enumerates exactly what each entry contains: key, label, type, required flag, help text, and allowed options. That is a concrete, non-tautological statement of what the tool returns. It does not, however, draw a line between this tool and the sibling enquiry_describe, so sibling differentiation is left implicit.

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 downstream workflow cue: 'Pass answers to submit_enquiry keyed by field key,' which tells the agent this is a lookup step that feeds submit_enquiry. There is no explicit when-not-to-use guidance and no mention of how it relates to enquiry_describe, so alternatives are not fully covered.

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