robust_csv_stream_repair

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

With no annotations, the description carries the full burden. It does disclose a key behavioral trait—the 0.01 USDC payment on Base L2—and names the transformations performed. However, it does not clarify whether the operation is read-only, idempotent, how payment is recovered, or what happens on failure.

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 core behavior is captured in a single front-loaded sentence, and the pricing parenthetical is relevant information for an agent deciding to invoke it. The word 'safely' adds little, but overall the description is compact and scannable.

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?

There is no output schema and no annotation coverage, yet the description does not specify the return format or whether it returns a repaired CSV string/stream. It also leaves the relationship between the optional paymentSignature and the stated 0.01 USDC fee ambiguous, which is important for correct 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 coverage is 100%, so the baseline is 3, and the description adds a little meaning by implying payload is raw CSV and that payment is required. The parameter descriptions themselves are generic placeholders, and the description does not compensate with concrete guidance for paymentSignature beyond the price.

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 identifies the operation: auto-detecting delimiters, repairing unescaped quotes, and normalizing ragged rows in a CSV stream. It is specific enough to be distinguished from obvious siblings like convert_csv_to_parquet or repair_malformed_json, but it does not explicitly differentiate itself from those alternatives.

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 behaviors listed imply it should be used for malformed or ambiguous CSV streams, but there is no explicit statement of when to choose this over a sibling or when not to use it. The context is present but the routing guidance is left to inference.

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