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

The description adds useful behavioral detail beyond the annotations: it returns a complete private job and checked CSV, requires bearer access in the client header, and instructs callers to reuse request_key on retries for idempotency. It does not detail persistence, error behavior, or concrete side effects, but given the annotations are minimal, this is a solid level of disclosure.

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 description is three short sentences with no filler. Purpose is front-loaded, followed by return value, auth requirement, and retry guidance. Each sentence communicates a distinct, useful fact, making it highly scannable for an AI agent.

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 tool with nested schema and an output schema present, the description covers the key invocation essentials: what it does, what it returns, auth setup, and idempotency behavior. It does not mention error handling or how to later retrieve the job, but the output schema and sibling get_job tool compensate partially. Overall, it is sufficient for correct selection and invocation.

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 67%, and the description itself adds limited parameter-level meaning. 'Bounded CSV' loosely hints at csv_text limits, and 'explicit column rules' maps to the schema parameter, but the description does not expand on how to construct the schema. The retry note reinforce request_key semantics already described in the schema, so the description adds only modest value beyond the structured schema.

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 a specific verb and resource: 'Normalize bounded CSV using explicit column rules.' This clearly identifies what the tool does and distinguishes it from sibling tools like submit_audit or create_result_reference. The qualifiers 'bounded' and 'explicit column rules' add meaningful scope.

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 description provides clear context for when to use the tool: when normalizing a bounded CSV with explicit column rules. It also includes important invocation prerequisites such as bearer access and request_key reuse on retries. However, it does not explicitly contrast this tool with sibling submission or reference tools, so it lacks explicit when-not-to-use guidance.

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