Skip to main content
Glama

request_feature

Submit a feature request for new capabilities, tools, or app integrations that do not yet exist.

Instructions

Submit a feature request to the LMCP team — a new capability, a tool that doesn't exist yet, or an app/inte...

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries full burden. It only states 'Submit a feature request' without explaining what happens after submission, if it's asynchronous, or any authentication needs. This lacks critical 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.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short but appears to be truncated ('or an app/inte...'), which is a structural issue. Every sentence is concise but incompleteness detracts from clarity.

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?

Given zero parameters and no output schema, the tool is simple. However, the description lacks context on submission details, storage, or feedback mechanism. It is minimally adequate but not thorough.

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?

The input schema has no parameters, so description cannot add parameter details. However, the description provides examples of what constitutes a feature request (new capability, tool, app), mildly aiding the agent. Baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Submit a feature request to the LMCP team.' It specifies what kind of requests (new capability, tool, app integration) though truncated. This distinguishes it from sibling tools like 'report_problem' but could be more precise.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like 'report_problem' or 'signal_friction'. The description does not mention any conditions or prerequisites for using the tool.

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/lanchuske/local-mcp-releases'

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