Skip to main content
Glama
tshu-w

MCP Server Copilot

by tshu-w

route-tools

Routes user queries to the appropriate tools across servers, eliminating the need to know which server hosts each tool.

Instructions

Route user query to appropriate tools across all servers. Use this when you need to find specific tools that can address the user's request, regardless of which server hosts them. This is helpful when you know the task type but not which server handles it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
top_kYes
Behavior2/5

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 only states it routes queries but does not disclose behavioral traits such as whether it is read-only, performance characteristics, or what happens on errors. For a tool with no annotations, this is a significant gap.

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 concise at two sentences, front-loading the core purpose. It is well-structured and avoids unnecessary detail, though it could benefit from separating usage guidance from purpose.

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 absence of output schema, annotations, and parameter descriptions, the description is insufficiently complete. It does not specify the return format or how results are presented, leaving an AI agent with critical unknowns.

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

Parameters1/5

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

Schema description coverage is 0%, and the description provides no explanation of the parameters ('query' and 'top_k'). Without any semantic guidance, an AI agent cannot infer what inputs are expected or how they affect behavior.

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's purpose: routing a user query to appropriate tools across all servers. It effectively distinguishes from siblings like 'execute-tool' (execution) and 'router-servers' (server listing) by focusing on cross-server tool discovery.

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?

The description provides clear when-to-use guidance: when you need to find tools for a request regardless of server, or when you know the task type but not the hosting server. It does not explicitly state when not to use or mention alternatives, but the context is sufficient.

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/tshu-w/mcp-copilot'

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