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

The description adds behavioral detail beyond the annotations: it discloses verification steps (evidence chunk_id resolution, reasoning shape validation, HMAC signing), the return value (mint_id + attestation), and the auth requirement (FILLIN_API_KEY). Since annotations already mark readOnlyHint=false, this is a write operation, and the description enriches that with specific processing behavior. It does not cover failure modes or fee impact, but the main traits are disclosed.

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 description is two short paragraphs: the first states the purpose, value proposition, and key mechanics; the second states the auth requirement. Every sentence adds information. There is no redundancy or filler, and it is front-loaded with the primary action.

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?

The description covers the tool's purpose, outcome, verification process, marketplace context, and prerequisite. An output schema exists (mentioned in context), so return structure does not need to be described in detail. It could mention failure handling or costs, but for a 7-parameter minting tool with rich schema and output definition, it is sufficiently complete.

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%, so the input schema already documents all 7 parameters with descriptions. The tool description does not add parameter-level detail beyond what the schema provides; it mentions 'typed reasoning shape' and 'evidence chunk_id' but those are already in the schema. Baseline 3 is appropriate given the high schema coverage.

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 opens with a specific verb+resource: 'Mint a (data + reasoning) asset on the Fillin marketplace.' It clearly states the outcome (returns mint_id + attestation) and differentiates from the sibling tool fillin_buy_mint, which is for buying. This makes the tool's purpose unambiguous.

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 description provides clear context for when to use this tool: to create a sellable data+reasoning asset. It explicitly references the complementary flow via fillin_buy_mint, and notes the API key requirement. It does not explicitly state exclusions or when NOT to use it, but the context is sufficiently clear for an agent to select it appropriately.

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