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

With no annotations, the description carries the full burden. It does add real value by disclosing the cost (1 credit per call) and the fact that it returns a report rather than mutating data. But it omits the schema's 2MB input ceiling, any auth or rate-limit context, and error behavior on malformed CSV.

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?

One dense sentence covering the action and its full output contract, followed by a short cost sentence. Front-loaded, no filler, and every clause maps to information an agent needs.

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 and no annotations, the description steps in admirably by enumerating the report contents, so an agent can anticipate the return shape. It is only incomplete on input constraints and failure modes, which are minor for a stateless read-style tool.

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 coverage is 0% for the single 'csv' parameter, so the description must compensate. "Paste CSV text" usefully clarifies that the value is raw CSV content, not a file path or URL, but it does not surface the minLength/maxLength bounds (3 to 2,000,000 characters) that the schema only encodes structurally.

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?

Specific verb+resource: it profiles pasted CSV text and enumerates the exact report contents (row count, per-column type, blanks, distinct values, numeric stats, top values, duplicate rows). An agent knows exactly what the tool produces. It never explicitly names a distinguishing sibling (e.g., convert_data, extract_tables), so it falls just short of a 5.

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?

"Paste CSV text" implies the usage mode and the input shape, which is the single most important usage fact for a one-parameter tool. However, it gives no when-to-use guidance, no exclusions, and never points to an alternative among the many data-handling siblings.

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