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search_tools

Find relevant Unity MCP tools by intent with a query, or omit it to list all tools by category for quick discovery.

Instructions

Find the most relevant tools by intent. Pass a query (e.g. find references, missing script, texture) to get matching tools with descriptions. Omit query to list all tools by category.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "search_tools"
  }
}

Input Schema

NameRequiredDescriptionDefault
queryNoOptional search term to filter tools by name or description

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.5.2

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description still discloses the key behavioral traits: matching tools are returned with descriptions, and omitting the query lists all tools by category. It does not discuss ranking, result limits, or matching behavior, but the essential read-only discovery behavior is transparent.

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?

Three short sentences, front-loaded with the core purpose and followed by the two invocation modes. Every sentence adds useful information with no repetition.

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

Completeness5/5

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

For a simple one-parameter discovery tool with no output schema, the description covers purpose, both usage modes, and what is returned. Nothing essential is missing for an agent to call it correctly.

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 coverage is 100%, so the basic meaning of query is already documented. The description adds useful context by giving example intents and by explaining that omission changes behavior to a full categorical listing.

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 states a specific verb-resource pair: find the most relevant tools by intent. It is clearly a discovery tool and cannot be confused with action tools such as find_references, because the object being searched is the tool catalog itself.

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

Usage Guidelines4/5

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

It clearly explains both usage modes: pass a query to filter, or omit it to list all tools by category. It does not explicitly say when to prefer this over invoking a known sibling directly, but the discovery context is clear.

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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