Skip to main content
Glama

Get Server Orientation

tm.get_serverInfo

Provides orientation for the TestMu AI Test Manager MCP server, including wrappers and key rules. Call this first when unfamiliar with the server.

Instructions

Returns a short orientation for the TestMu AI Test Manager MCP server: what it wraps (Test Manager, HyperExecute, AI Insights/RCA) and a handful of rules that apply across many tools (mutating actions are real and persistent, RCA generation costs credits, manual vs. KaneAI incompatibility, ID types are not interchangeable). Useful to call first if unfamiliar with this server. Does not enumerate individual tools - see the tool catalog itself for that.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
Behavior4/5

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

No annotations provided, so description carries full burden. It explains the tool returns orientation and rules, but does not explicitly state it is read-only or has no side effects, though that is implied by the content.

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?

Three sentences, front-loaded with main purpose. Efficient but could better structure the parameter information.

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

Completeness3/5

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

Without an output schema, the description should fully specify return content. It does so for the main content but omits any mention of the input parameter, reducing completeness.

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?

Input schema has one optional parameter 'name' with no description coverage. The tool description does not mention or explain this parameter, leaving its purpose unclear.

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 returns a short orientation for the server, including what it wraps and rules. It distinguishes itself from sibling tools that perform specific operations.

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?

Explicitly advises to call first if unfamiliar with the server, and notes it does not enumerate tools, directing to the tool catalog. Provides clear when-to-use guidance.

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/prakhar-gahlot/TestMu-AI-Test-Manager-MCP'

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