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

The description adds substantial behavioral detail beyond the annotations: it is best-effort, handles multiple delimiters and quoting, is limited to 500 rows, and is priced ($0.01 per call over x402 on Base) with an auth header option or free daily call. It also explicitly states 'No wallet or API key required,' which is valuable operational context. No contradiction with readOnlyHint/idempotentHint.

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 compact and front-loaded with the main purpose before diving into pricing and auth. It bundles several distinct facts (parsing behavior, row limit, best-effort nature, pricing, credential requirements) into one sentence, which is dense but still readable and efficient. Minor structural improvement could be separating pricing into its own sentence.

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?

The description covers what the tool does, the input requirements, limits, best-effort behavior, and cost/auth prerequisites. Since the tool has an output schema defined, return-value details are not required in the description. An agent has enough information to invoke this tool correctly.

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 100% (the single 'text' parameter is described as 'CSV text'), so the schema already defines the parameter. The description adds value by specifying the accepted CSV variations ('comma/semicolon/tab, quoted fields') and the row limit, enriching the agent's understanding of what the input should look like.

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's function: 'Parse a bank CSV ... and map common headers ... into one schema.' This is a specific verb-resource pairing with scope. It is distinct from all siblings; no other tool in the large sibling list handles bank CSV normalization.

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 gives concrete usage context: 'Up to 500 rows. Best-effort. Required input: text.' It also communicates the input format limits (delimiters, quoted fields). It does not explicitly name alternative tools or when-not-to-use cases, but the criteria for successful use are clear enough for an agent to decide.

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