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

No annotations are provided, so the description carries the full burden, and it discloses only that the call costs 0.01 USDC on Base on a pay-per-use basis — a genuine cost/auth detail. It says nothing about what the operation actually does, whether it mutates anything, or what it returns.

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?

It is a single short line, so it is not bloated, but every word is spent on provenance and pricing rather than on the tool's function. Concise but not front-loaded with anything actionable.

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 task tool with no annotations, no output schema, and a contentless parameter, the description supplies none of the missing context. An agent cannot determine what the tool will do with 'input' or how to use the result.

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 nominally 100%, but the sole parameter's description is just 'entrada' ("input"), which is a tautological restatement of the field name and conveys no semantics. The tool description adds nothing further, so the agent learns neither format nor expected content.

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 never states what the tool does. It only reports provenance ('Auto-created from real demand') and a payment model, leaving the agent to guess from the name 'corregir' that it corrects/proofreads text. There is no verb+resource and no differentiation from siblings like 'proofread' or 'rewrite-formal'.

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?

No when-to-use, when-not-to-use, or alternative is given. The agent receives no signal about what kind of input this tool expects or when it should be preferred over the many closely related text tools in the sibling list.

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