Qué es Tablero Despacho
que_es_tablero_despachoResumen de Tablero Despacho: qué es, para quién es, qué problemas resuelve y quién lo hace.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
que_es_tablero_despachoResumen de Tablero Despacho: qué es, para quién es, qué problemas resuelve y quién lo hace.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is fully covered. The description only adds what topics the returned content covers, with no note on output format, length, or whether the content is static — real but modest added value against an already-complete annotation set.
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?
A single front-loaded sentence with a colon-separated content list — efficient and easy to scan. The opening 'Resumen de Tablero Despacho' mildly duplicates the title, which keeps it from a 5.
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 simple zero-parameter informational tool with no output schema, the description tells the agent broadly what content comes back. However, with no output schema the agent has no idea of the response shape or how this overview relates to the sibling topical tools, which leaves a genuine gap.
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?
The tool takes zero parameters, so there is nothing for the description to disambiguate; no parameter semantics are needed or missing. Baseline for a parameterless tool, with nothing extra to earn a higher mark.
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 uses a clear framing ('Resumen de Tablero Despacho') and enumerates the exact content the tool returns: what it is, who it's for, which problems it solves, and who builds it. That is enough to distinguish it from siblings like 'funciones' or 'precio_y_demo', though it never explicitly contrasts itself with them.
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?
Usage is only implied: an agent can infer this is the introductory/overview tool to call before the more specific siblings, but there is no explicit when-to-use, when-not-to-use, or named alternative (e.g. versus 'preguntas_frecuentes').
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.