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

With no annotations provided, the description does useful work by disclosing the price ($0.02 USDC on Solana per op) and the nature of the result (one signed example-validity grade). It does not cover payment mechanics, failure behavior, or rate limits, but it gives more behavioral context than most paid-operation descriptions.

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 definition is a single dense sentence that front-loads the price and then explains what the payment buys. It is efficient with no obvious filler, though the phrase 'one signed example-validity grade' is slightly compressed and could be clearer.

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?

For a paid, nested-object check with no output schema and no annotations, the description covers the core grading logic and cost. It still omits op semantics, sibling differentiation, and payment or response details that would help an agent invoke it confidently.

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 50%, and the description clarifies that the listing's example_input is graded against its input_schema, which adds meaning beyond the schema. However, the op parameter remains undocumented in both the schema and the description, leaving one required input underexplained.

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 states a specific action: grading a listing's example_input field by field against its declared input_schema, and it names the payment cost. It is clear what the tool does, though it does not explicitly distinguish itself from sibling listing_check tools such as listing_check_precheck or listing_check_check.

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 phrase 'example-validity grade' and the mention of example_input and input_schema. There is no explicit when-to-use guidance, no exclusions, and no comparison to sibling tools that may handle different listing checks.

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