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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description still adds real behavioral value beyond that: it never writes to Merchant Center or OpenAI, and unknown values are emitted as TODO rather than fabricated — the latter is a substantive disclosure an agent could not infer from annotations.

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?

Three tight sentences: purpose and input source first, output composition second, behavioral guarantees last. Every clause carries information — no restatement of the title, no filler.

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, but the description compensates by enumerating the CSV columns and stating the return is file content rather than a write. For a 5-parameter transform tool this is nearly complete; only the `language` parameter and the exact handling of a mixed/empty issue set remain unexplained.

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 60%, so the description must compensate somewhat, and it does: it identifies the `issues` parameter's source and ties Q&A template columns to `include_qa` and the seller_name column to `seller_name`. `language` is never mentioned and `target` is only implied by the column list, leaving a small residual gap.

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+resource: converts the `issues` array into CSV text of suggested corrections, and enumerates the output columns (title, gtin, identifier_exists, product_type, availability, price, seller_name, Q&A). It also names the exact sibling tools that produce the input, so an agent can place it in the workflow without opening any schema.

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 opening clause makes the trigger explicit — this is what you call with the `issues` array returned by validate_feed_for_google / validate_feed_for_chatgpt / audit_product_page, which clearly positions it downstream of those tools. It stops short of stating exclusions or what to do when issues is empty/invalid, but the sequencing guidance is unambiguous.

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