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

With no annotations, the description must carry the full behavioral burden. It discloses the returned attributes (key, label, type, required, help text, options) but does not explicitly state that the operation is read-only, has no side effects, or requires any particular authentication. No contradiction with annotations exists since none are provided.

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 return content, and the usage hint is secondary. Every clause adds value, and there is no wasted text.

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?

Given no output schema, the description compensates by listing the field attributes an agent will receive. It does not specify the overall response structure (e.g., an array of objects) or explicitly state that the call is read-only, but for a simple zero-parameter metadata tool it is largely complete.

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 the baseline is 4. The schema is empty with 100% description coverage, and the description's mention of field keys adds useful context for the downstream submit_enquiry call.

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 clearly states the tool returns every field of the Hindi AI Trainer Jobs enquiry and enumerates the attributes (key, label, type, required, help text, options). It distinguishes itself from submit_enquiry by explaining the relationship, though it does not explicitly distinguish from enquiry_describe or use a direct verb like 'returns' or 'lists'.

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 sentence 'Pass answers to submit_enquiry keyed by field key' implies this tool is used to discover field keys before submitting, but it does not explicitly state when to use this tool, when not to, or how it differs from siblings like enquiry_describe.

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