predict_category

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

With no annotations, the description carries the disclosure burden and does well: it explains the return shape (list of categories with id, name, full path) and the consequence of misfiling. It omits auth/rate-limit behavior, but for a lightweight read-style prediction tool the operational context is largely covered.

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?

Front-loaded with the core action, then a workflow directive, then a follow-up tool, then the return format. Every sentence earns its place and none is redundant.

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?

No output schema exists, but the description explains the return values, and it embeds the tool in the publish workflow (before create_item, then get_category_attributes). Nothing an agent needs to call it correctly is missing.

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% and the single 'title' param is already documented with an example in the schema, so the description adds only marginal meaning ('pass the title you intend to publish') plus guidance on picking the top prediction. Baseline 3 is appropriate.

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 (predict) and resource (Mercado Livre category) with the exact input (product title). It clearly distinguishes itself from siblings by positioning the tool as the pre-step to create_item, an agent can tell what it does without opening the 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?

Explicitly says to ALWAYS call this before create_item and gives the reason (create_item needs category_id, wrong category hurts visibility/is rejected). It also names the follow-up tool get_category_attributes, providing a clear end-to-end workflow.

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