entidades
Auto-created from real demand (77 requests) [x402: 0.02 USDC on Base, pay-per-use]
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes | entrada |
Auto-created from real demand (77 requests) [x402: 0.02 USDC on Base, pay-per-use]
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes | entrada |
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 of behavioral disclosure. It fails to disclose what the tool does, what side effects exist, what the input should be, or what the output looks like. The only behavioral hint is the pay-per-use cost, which is not enough.
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 short, but it is under-specified rather than concise. It front-loads irrelevant metadata (request count, pricing) instead of stating the tool's purpose. Every sentence should earn its place; these sentences do not.
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 tool with one undocumented parameter, no output schema, and no annotations, the description is completely inadequate. An agent cannot determine what input to provide, what the tool returns, or how it differs from the many entity-related siblings.
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 description coverage is 100% but the parameter description is just 'entrada' (input), which adds no semantic meaning. The description does not compensate by explaining what kind of input is expected (e.g., text, entity names, JSON). The tool name suggests entity extraction, but the description provides no confirmation.
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 'Auto-created from real demand (77 requests) [x402: 0.02 USDC on Base, pay-per-use]' does not state what the tool does. It only provides provenance and pricing metadata. The name 'entidades' (Spanish for 'entities') hints at entity-related functionality, but the description itself is a tautology of the name and provides no verb or resource.
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 guidance on when to use this tool versus any of the many siblings. The description mentions pay-per-use pricing but not the conditions under which an agent should select this tool over alternatives like 'extraer-entidades' or 'entities'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.