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execute_generated_query

Generate SQL from a natural language prompt and run it directly on the database, bypassing the review step. For cases that demand immediate execution.

Instructions

DANGEROUS: generate SQL from a prompt and execute it immediately.

This executes model-generated SQL without a separate review step. Use generate_query and run_readonly_query instead when possible.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It warns 'DANGEROUS' and explains that model-generated SQL is executed immediately without review, which conveys the primary risk profile. It could be more explicit about potential write/destructive effects, but the warning is substantial.

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?

The description is two sentences with no filler. It front-loads the most critical information ('DANGEROUS') and each sentence adds essential context about behavior and alternatives.

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 tool with an output schema, the description covers the core behavior, risk, and alternatives. It is slightly lacking in explicit details about prompt semantics and side effects, but overall the agent has enough to call it correctly and safely.

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 description coverage is 0%, so the description must explain the 'prompt' parameter. It says 'generate SQL from a prompt,' which clarifies that the prompt is the natural-language input for SQL generation, but it does not specify prompt expectations, format, or constraints. This is minimal compensation for a complete lack of schema descriptions.

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 states a precise action: generate SQL from a prompt and execute it immediately. It clearly distinguishes itself from siblings by noting that it executes without a separate review step, unlike generate_query and run_readonly_query.

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 explicitly steers agents toward safer alternatives: 'Use generate_query and run_readonly_query instead when possible.' This gives a clear preference order, though it does not define exact conditions for when this tool must be used.

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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