traducir
Translate a natural-language instruction into a dense, actionable structure/contract. input=text. [x402: 0.002 USDC on Base, pay-per-use]
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes | instrucción en lenguaje natural |
Translate a natural-language instruction into a dense, actionable structure/contract. input=text. [x402: 0.002 USDC on Base, pay-per-use]
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes | instrucción en lenguaje natural |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses a cost ('0.002 USDC on Base, pay-per-use'), which is useful, but it does not describe the output format, side effects, idempotency, rate limits, or whether any state changes occur. 'Dense, actionable structure/contract' is too vague to inform the agent of what to expect after invocation.
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 one sentence plus a cost bracket, with the core purpose front-loaded. 'input=text' is redundant given the schema, but it is short and not harmful. The cost note is not misplaced but could arguably be in annotations. Overall, it is concise and structurally sound, with minor redundancy.
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?
There is no output schema, so the description must explain the return value, but it only says 'dense, actionable structure/contract' without specifying format, type, or content. For a tool performing a transformation, an agent cannot know whether the result is JSON, text, or something else. This is a significant gap for a one-parameter tool with no annotations.
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%: the only parameter 'input' is described in the schema as 'instrucción en lenguaje natural.' The tool description redundantly says 'input=text' and restates it as 'natural-language instruction,' adding no meaningful semantics beyond the schema. Baseline of 3 is appropriate because the schema already fully documents the parameter.
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: 'Translate a natural-language instruction into a dense, actionable structure/contract,' which distinguishes it from the many language-translation siblings (traducir-texto, traducir-en, etc.). However, it leaves 'structure/contract' undefined—no shape, format, or example—so the purpose is clear at a high level but vague on concreteness.
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 gives no guidance on when to use this tool versus its siblings. With a large list of translation-related tools (traducir-doc, traducir-en, translate-doc, fast-translate, etc.), an agent has no basis for selecting this one over alternatives. No exclusions, prerequisites, or use cases are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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