Skip to main content
Glama
agaonker

MCP Server with OpenAI-Compatible Model Support

by agaonker

list_models

Retrieve model metadata configured on the server, including details such as model names and settings.

Instructions

Returns the currently configured model metadata for the MCP server.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
detailsNo
Behavior2/5

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

No annotations are provided, and the description only states the basic action of returning metadata. It does not disclose potential behaviors such as read-only nature, required permissions, or performance implications. The description adds minimal behavioral context.

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 a single, short sentence that directly conveys the purpose. It is efficiently front-loaded with no wasted words, but could benefit from more detail about the parameter or return value.

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?

For a simple tool with one boolean parameter and no output schema, the description does not explain what 'model metadata' includes or how the 'details' parameter affects output. This leaves the agent with incomplete information to invoke the tool correctly.

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?

The schema has one boolean parameter 'details' with 0% description coverage, and the tool description does not explain its meaning or effect. The description adds no value beyond the schema, failing to compensate for the lack of schema description.

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 'currently configured model metadata for the MCP server'. The verb 'returns' and resource 'model metadata' are specific. It distinguishes from sibling tools which handle files, text, or health.

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

Usage Guidelines3/5

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

The description implies usage for retrieving model metadata but provides no explicit guidance on when to use it over alternatives or when not to use it. No exclusions or contexts are mentioned.

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/agaonker/mcp-apps'

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