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T0UGH

MCP Server My Lark Doc

by T0UGH

search_wiki

Search Lark Wiki by keyword to find relevant documents, with optional control over the number of results returned.

Instructions

Search Lark Wiki

Args:
    query: Search keywords
    page_size: Number of results to return (default: 10)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
page_sizeNo
Behavior1/5

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

No annotations are provided, so the description must disclose behavioral traits. It fails to mention any side effects, rate limits, authentication needs, or result structure. The description is completely silent on behavioral aspects beyond the basic action.

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

Conciseness3/5

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

The description is very short (two lines for parameters) and follows a docstring format. While it is concise, it may be too sparse, omitting useful information that could fit without being verbose.

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 no output schema, the description should explain return values. It does not describe what the search results contain. Additionally, with a sibling tool available, no clarification of relationship is provided, leaving the agent with incomplete 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?

Schema description coverage is 0%, so the description must add meaning. It describes 'query' as 'Search keywords' and 'page_size' as 'Number of results to return (default: 10).' This adds minimal semantics but does not explain expected format or behavior beyond defaults.

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

Purpose3/5

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

The description states 'Search Lark Wiki,' which clearly indicates a search verb and resource. However, it does not differentiate from the sibling tool get_lark_doc_content, which might retrieve content of a specific document. The purpose is clear but lacks distinction.

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?

No guidance is provided on when to use search_wiki versus the sibling tool get_lark_doc_content. The description does not mention alternatives or exclusions, leaving the agent to infer usage context.

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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