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lhhub10086

MCP-Knowledge-Toolbox

by lhhub10086

query_table

Query a table within a knowledge document to retrieve structured data based on a natural language query.

Instructions

query_table

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
doc_idYes
Behavior1/5

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

No annotations exist, so the description must convey behavioral traits (e.g., whether it reads or mutates, pagination, auth needs). It says nothing, leaving the agent blind.

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

Conciseness1/5

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

One word that provides zero value. This is not conciseness but omission.

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

Completeness1/5

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

Given two required parameters with no descriptions, no output schema, and no behavioral context, the description is completely inadequate. The agent has no clue about the tool's purpose or usage.

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

Parameters1/5

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

Schema coverage is 0% and the description adds no meaning to 'query' or 'doc_id'. The agent cannot infer what the query should be (SQL? natural language?) or how doc_id is used.

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

Purpose1/5

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

Tautological: description restates name/title.

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

Usage Guidelines1/5

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

No guidance on when to use this tool vs alternatives (e.g., search_knowledge for broader search). No prerequisites or context provided.

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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