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responder

Genera una respuesta a un mensaje/email. input=mensaje a responder. [x402: 0.003 USDC on Base, pay-per-use]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesservice input

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It clearly indicates that the tool generates a reply and includes relevant pay-per-use pricing, but it does not describe output format, language behavior, or any other side effects. For a simple generation tool, the main behavior is reasonably transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded with the main purpose, followed by a useful pricing note. There is no filler, though the inline 'input=mensaje a responder' notation is slightly informal and could have been integrated more cleanly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter generation tool, the description covers the essential information: what the tool does, what the input is, and the cost. It does not explicitly describe the output or tone, but these are largely inferable from the stated purpose.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema only describes the parameter as 'service input', while the description explicitly states it is the message to respond to. Since schema coverage is 100%, the description still adds meaningful semantic context beyond the generic placeholder.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb-resource pair: 'Genera una respuesta a un mensaje/email' (generate a response to a message/email). It is specific enough to understand the core function, but it does not differentiate it from similar sibling tools like 'reply' or 'customer-reply'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance about when to use this tool versus alternatives such as 'reply', 'customer-reply', or 'email-polish'. The only additional hint, 'input=mensaje a responder', clarifies input semantics rather than providing selection criteria.

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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