Skip to main content
Glama

Tool setup

get_setup_instructions
Read-onlyIdempotent

Configuration for using Kourier from Oh My Pi, Claude Code, Codex CLI, or any OpenAI-compatible client.

Input Schema

NameRequiredDescriptionDefault
harnessNoClient to configure. Omit for the generic OpenAI-compatible settings.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

Annotations already cover readOnlyHint, idempotentHint, openWorldHint=false, and destructiveHint=false, so safety behavior is fully declared. The description adds essentially nothing beyond the client list, which the enum already provides, and says nothing about what is returned or whether it requires an existing account/API key.

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?

A single tight sentence with no filler, though it is arguably under-specified rather than concise. It is front-loaded with the resource topic.

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?

For a read-only, single-parameter tool with complete schema coverage, the description is close to adequate, but with no output schema it should clarify what 'configuration' resolves to (a config snippet, command, or link) and how it relates to the API-key instructions sibling. Those gaps leave the agent guessing at the return.

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?

Schema description coverage is 100% with a single, well-documented enum parameter, so the schema carries the semantic load. The description naming the four client types loosely mirrors the enum but adds no format or behavior detail, making the baseline 3 appropriate.

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

Purpose3/5

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

The description is a noun phrase ('Configuration for using Kourier...') that conveys the topic but never states the action the tool performs, unlike the verb-fronted sibling names get_api_key_instructions and get_models. It enumerates the supported clients, which helps, but gives no signal distinguishing it from the closely related get_api_key_instructions sibling.

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?

There is no guidance on when to call this versus the sibling get_api_key_instructions or get_models, and no prerequisites or sequencing advice. The only hint ('Omit for the generic OpenAI-compatible settings') lives in the schema, not the description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.