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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is fully covered without the description. The description adds no behavioral traits beyond that — no auth requirements, no note on what a lookup miss returns, no scoping caveats. It is essentially purpose text only.

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 sentence, front-loaded with the action and resource, with no filler. It is tight, though the brevity comes partly at the cost of parameter detail rather than pure efficiency.

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?

An output schema exists, so return values need not be explained, and annotations cover the safety profile. However, with 4 required params at 0% schema coverage and only half of them addressed, the definition leaves real gaps an agent must guess at before calling.

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 0%, so the description must carry parameter meaning. It covers only 2 of 4 required params (id, executedAt) and usefully discloses their origin from the Answers listing, but brandSlug and marketId are left entirely unexplained and must be inferred.

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 (Read) and resource (one answer's full text and citations), and the singular 'one answer' implicitly separates it from the plural list tool parse_dashboard_answers and the row-level parse_dashboard_answer_rows. It does not name a sibling explicitly, so it stops short of a 5.

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?

'using the id and executedAt returned by Answers' tells the agent this is a second-step call that depends on a prior listing call, which is useful sequencing guidance. It gives no when-not condition and no explicit alternative, so usage is only implied.

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