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omkute101

AI Square Documentation MCP Server

by omkute101

search_guides

Read-onlyIdempotent

Search AI Square guides and tutorials to locate documentation, API references, SDK examples, and troubleshooting help.

Instructions

Search categories configured as guides and tutorials.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the safety profile is covered. The description adds no additional behavioral context beyond what annotations provide, such as return format or pagination behavior, but it does not contradict the annotations.

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 a single, concise sentence that is front-loaded with the primary action and resource. It contains no wasted words or redundant information.

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?

Given the lack of parameter descriptions, sparse behavioral details, and no usage guidelines, the description is incomplete for a search tool. The output schema exists, so return values are covered, but the description does not address how the search behaves, what the query matches, or how limit affects results.

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 schema description coverage is 0%, so the description must compensate. It does not explain the meaning of 'query' or 'limit' beyond what their names imply. The agent must infer that 'query' is the search term and 'limit' caps results, which is insufficient for a low-coverage schema.

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 a specific verb ('Search') and resource ('categories configured as guides and tutorials'), which differentiates this tool from siblings like search_troubleshooting, search_docs, and search_code. The purpose is unambiguous and aligned with the tool name.

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

Usage Guidelines3/5

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

The description implies usage for finding guides/tutorials, but it does not explicitly state when to use this tool versus alternatives like search_troubleshooting or find_examples. There is no exclusionary guidance or mention of alternatives, so usage context is only inferred.

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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