Skip to main content
Glama
kud
by kud

query

Send prompts to GitHub Copilot models (default GPT-4.1) and receive responses. Use list_models to see available models.

Instructions

Send a prompt to an opencode model. Defaults to github-copilot/gpt-4.1. Filters — allow: all. Use list_models to see what's available.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNoModel to use in provider/model format (default: github-copilot/gpt-4.1)
promptYesThe prompt to send
Behavior3/5

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

No annotations provided, so description carries full burden. It mentions default model and filter behavior ('allow: all'), but does not disclose if the tool is read-only or destructive, rate limits, or auth needs. Adequate but not comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

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

Two sentences, no wasted words. Front-loaded with the core action, then defaults and sibling reference.

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

Completeness4/5

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

For a tool with 2 params and no output schema, description covers purpose, default, and a hint to sibling. Lacks mention of response format or error handling, but sufficient for basic usage.

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

Parameters4/5

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

Schema coverage is 100%, description adds default value for model and specifies format (provider/model). The prompt parameter is clear. Adds meaningful context beyond schema.

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?

Clearly states 'Send a prompt to an opencode model', specifies the resource and action, and provides the default model. Distinguishes from sibling list_models by directing to it for viewing available models.

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?

Explicitly advises to use list_models to see available models, providing a when-to-use alternative. Does not specify when not to use query, but the context is clear.

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/kud/mcp-opencode'

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