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

No annotations, so the description carries the burden. It does disclose the output shape (array of row objects) and the header-row precondition, which is real behavioral information. It is silent on edge behavior an agent would want: handling of ragged rows, quoting/embedded commas, missing header, and whether values are coerced to numbers or kept as strings.

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 tight sentence with the input format, its precondition, and the return shape all front-loaded. Nothing is wasted and nothing needs to be re-read.

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 the description does supply the return shape (array of row objects), which covers the main gap. It falls short only on malformed-input and type-coercion behavior, which for a one-parameter pure transform is a minor omission rather than a blocking one.

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% and the single parameter 'text' is already documented as a CSV document. The phrase 'with header row' adds a genuine constraint on that input beyond the schema, but that is the only added meaning, so the baseline 3 holds with slight credit.

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?

States a specific verb (convert), a specific input (CSV with header row) and a specific output shape (array of row objects). No sibling in the list does CSV parsing, so it is unambiguously distinguishable from json_format, json_validate, etc.

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?

Usage is implied by the input constraint (CSV must have a header row), but there is no explicit when-to-use or when-not-to-use guidance and no mention of alternatives. For a single-purpose utility with no true sibling overlap, implicit usage is adequate but not instructive.

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