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Glama
hsiangjenli

Python MCP Template

by hsiangjenli

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
new_endpointD

New Endpoint

Responses:

  • 200 (Success): Successful Response

    • Content-Type: application/json

    • Response Properties:

      • message: A welcome message.

    • Example:

{
  "message": "Hello, world!"
}
  • 422: Validation Error

    • Content-Type: application/json

    • Response Properties:

    • Example:

{
  "detail": [
    "unknown_type"
  ]
}

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

C2.2/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools. The tool 'new_endpoint' stands alone with a distinct purpose, so an agent cannot misselect between multiple options.

Naming Consistency5/5

A single tool inherently has perfect naming consistency, as there are no other tools to compare it against for patterns. The name 'new_endpoint' follows a clear verb_noun structure, but consistency cannot be assessed across a set of one.

Tool Count2/5

A server with only one tool feels thin and under-scoped for most purposes, especially given the generic 'Python MCP Template' name that suggests broader functionality. One tool is typically insufficient for meaningful agent interactions, indicating a mismatch with the apparent scope.

Completeness1/5

The tool surface is severely incomplete, as a single 'new_endpoint' tool does not cover any domain meaningfully. There are obvious gaps in CRUD operations, lifecycle management, or any coherent workflow, making it impossible for agents to perform useful tasks beyond a trivial response.