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

No annotations exist, so the description carries the full behavioral burden, yet it says nothing about time coverage, units, frequency, data vintage, or whether results are static or historical. The output schema covers the return shape, but the operational traits an agent needs before calling are absent.

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?

Short and front-loaded, with the core purpose stated before the supporting product list. The 'Args:' block is slightly redundant boilerplate but costs little.

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 one-parameter tool with an output schema, most of the definition is sufficient, but critical context for a supply-and-demand balance — the period covered, units, and update frequency — is missing from both the description and the structured fields.

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 0% and the parameter has no enum, but the description compensates by listing all six accepted product values and giving examples. That is meaningful added meaning beyond the bare 'Produto' string field in the schema.

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 names a specific resource and enumerates its dimensions (stock, consumption, exports), which distinguishes it reasonably well from siblings like producao_anual or exportacao that cover only one slice. It is not a tautology, though it never explicitly contrasts itself with those siblings.

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?

There is no statement of when to use this tool versus producao_anual, exportacao, serie_historica_safra, or the other agricultural-data siblings. The list of valid products is data validation, not usage guidance, so the agent must infer the selection criterion.

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