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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds 'bounded row output', hinting at truncation behavior, but omits other notable behavior such as the pay-per-call requirement and whether output is truncated silently or with a marker.

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?

A single sentence with the format list and the output constraint front-loaded, zero filler. Nothing could be removed without losing information.

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, so the description should clarify the return shape — object-per-row keyed by header versus arrays — and it only says 'structured JSON'. The L402 behavior and error paths are documented in the schema rather than the description, leaving moderate gaps for a caller reasoning from the description alone.

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 100%, so the baseline is 3; the description still reinforces the capped-row semantics ('bounded row output') and the delimiter formats it accepts, which map to the max_rows and delimiter parameters. It adds no contradicting or redundant detail.

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 uses a specific verb ('Convert') and names the source resource (CSV, TSV, semicolon, pipe-delimited text) and output ('structured JSON with bounded row output'). It's easy to distinguish from siblings like json_extract or json_validate, though it never explicitly states that distinction.

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 narrow purpose — parse delimited text into JSON — but there is no explicit 'use when' or 'do not use when' guidance, and no mention of the L402 payment retry flow that a first-time caller will encounter. The schema carries the payment instructions instead.

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