Skip to main content
Glama

search-tools

Find tools across all categories using natural language queries. Returns matching tool names and descriptions to help navigate the UniFi MCP surface.

Instructions

Discover available tools by natural language query. Returns matching tool names + descriptions across all categories. Use this first to navigate the 51+ tool surface efficiently.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesNatural language query. Discover tools across the UniFi MCP surface (analysis, raw API, connector tools).
categoryNoRestrict search to a specific category
limitNoMax results (default 20)
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It mentions the return includes matching tool names and descriptions, but omits details about safety, performance, or side effects. The description is adequate but does not fully compensate for missing 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 two sentences with no wasted words. The purpose is front-loaded, and the usage guidance is concise.

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?

With no output schema, the description explains the return content (names + descriptions) and categories. It provides enough context for a search tool, though details on pagination or ordering are missing.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents all parameters. The tool description adds no new meaning beyond the schema, earning the baseline score of 3.

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 the tool discovers tools by natural language query, returns names and descriptions, and is for navigating the tool surface. It uses a specific verb and resource, distinguishing it from sibling tools which are analysis-specific.

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

Usage Guidelines5/5

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

The description explicitly advises 'Use this first to navigate the 51+ tool surface efficiently,' providing clear guidance on when to use this tool as a starting point.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/us-all/unifi-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server