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xamp

xamp

by yeyorg
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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read_query

Execute read-only SQL queries on a specified database. Supports SELECT, SHOW, DESCRIBE, EXPLAIN, and WITH statements for data retrieval and schema exploration.

Instructions

Ejecuta una consulta SQL de solo lectura (SELECT, SHOW, DESCRIBE, EXPLAIN, WITH).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "database": "<database>",
      "query": "<query>"
    },
    "name": "read_query"
  }
}

Input Schema

NameRequiredDescriptionDefault
databaseYesNombre de la base de datos.
queryYesConsulta SQL de solo lectura.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description must carry behavioral transparency. It states the tool is read-only, but lacks details on authentication, rate limits, or error handling. This is sufficient but minimal.

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

Conciseness5/5

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

One concise sentence that front-loads the purpose and scope. No redundant information.

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?

Given the low complexity (2 params, no output schema), the description covers the essential read-only constraint and allowed commands. It could mention return behavior, but is complete enough for an agent to use correctly.

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

Parameters3/5

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

Schema coverage is 100%, so the schema already describes both parameters. The description does not add extra meaning beyond listing allowed SQL commands, which is partially related to the query parameter.

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

Purpose5/5

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

The description clearly states the tool executes read-only SQL queries (SELECT, SHOW, DESCRIBE, EXPLAIN, WITH). It specifies the verb 'ejecuta' and resource 'consulta SQL de solo lectura', distinguishing it from write operations.

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

Usage Guidelines4/5

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

The description implies use for read-only queries and explicitly lists allowed SQL commands. It does not directly mention alternatives like write_query, but sibling context makes it clear.

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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