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joyous-coder

universal-db-mcp

by joyous-coder

list_query_plans

List saved database query execution plans. Filter by query hash or limit to review and optimize SQL performance.

Instructions

列出已保存的执行计划。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryHashNo

Schema Changelog

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

  1. First observedv5.0.2

TDQS

C2.7/5.0
Behavior2/5

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 only says 'list saved execution plans' and gives no information about ordering, pagination, filtering behavior, whether it reflects the current profile, or what the response shape is. This is minimal and insufficient for a tool with no annotation context.

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 a single, focused sentence with no wasted words. It is concise and front-loaded, though it achieves conciseness by omitting important context.

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

Completeness2/5

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

For a simple tool with two optional parameters and no output schema, the description provides only the most basic action. It lacks details about return values, filtering semantics, pagination, or relationship to other query-plan tools, leaving an agent to guess at important operational context.

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

Parameters2/5

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

The input schema has 0% description coverage, and the description does not mention either parameter. Although 'limit' and 'queryHash' are somewhat self-explanatory from their names, the description adds no meaning beyond the schema and does not compensate for the lack of parameter documentation.

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 clearly states the tool's function: listing saved execution plans. It identifies the resource ('execution plans') and the operation ('list'), which is enough to distinguish it from siblings like explain_query or compare_query_plans, though it doesn't explicitly contrast with them.

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 get_query_history or compare_query_plans. The description implies a simple listing use case but does not state prerequisites, typical scenarios, or exclusions.

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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