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hitoshura25

MCP Server Generator

by hitoshura25

search_tools

Search for tools on the MCP server using a query, with progressive disclosure to save context. Returns results at name, summary, or full detail levels.

Instructions

Search for relevant tools by query with progressive disclosure

This tool implements the progressive disclosure pattern - allowing you to discover tools without loading full schemas upfront, saving context window space.

Args: query: Search query (matches against name, description, categories, use cases) detail_level: Level of detail to return: - "name": Just tool names (most context-efficient) - "summary": Names + descriptions + categories - "full": Complete information including use cases and detailed descriptions

Returns: JSON string with matching tools at requested detail level

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
detail_levelNosummary

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description provides good behavioral context: it returns a JSON string, supports progressive disclosure, and matches against multiple fields. However, it doesn't cover edge cases like empty results.

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 well-structured with an Args section and front-loads the purpose. Minor redundancy (progressive disclosure mentioned twice) but overall efficient.

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 simple 2-parameter tool with an output schema, the description covers the main aspects: purpose, parameters, return format. It doesn't explain behavior when no tools match, but is otherwise complete.

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

Parameters4/5

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

Schema description coverage is 0%, so the description compensates well: it explains the query matches against name, description, categories, and use cases, and clarifies each enum value for detail_level.

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 it searches for relevant tools by query with progressive disclosure, distinguishing it from sibling tools like get_tool_info which retrieves info about a specific tool.

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 explains the progressive disclosure pattern and when to use different detail levels, but does not explicitly state when not to use it or contrast with alternatives like get_tool_info.

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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