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omni_pair

Quick-pair an AI agent with a live OmniMod game using the 8-character code from the Quick Pair Computer screen, then store the returned token so future calls work without re-pairing.

Instructions

Quick-pair with the device using the 8-character code the user sees on Options -> Agent Link Info -> Quick Pair Computer. NO AUTH. After this call, the token returned is stored in the MCP's live config so the next call works without re-pairing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes8-character code (e.g. ACDM3491) — case-insensitive, dashes/spaces ignored

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.3.0

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses that no authentication is required, that the call returns a token, and that the token is persisted into the MCP's live config so future calls work without re-pairing. It does not describe all error or invalidation cases, but the key side effect is clearly stated.

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 filler. The purpose and code source are front-loaded, followed by the crucial auth and persistence notes. Every sentence earns its place.

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

Completeness5/5

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

For a single-required-parameter tool with no output schema and no annotations, this is sufficiently complete: clear purpose, exact input source/format, auth status, and post-call behavior. An agent can confidently decide to call it and know what happens afterward.

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%, so the baseline is 3. The description adds value by explaining where the code comes from (the user's device screen) and restating the 8-character format, which helps an agent know what to ask the user for and how to interpret the value.

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 names a specific action ('Quick-pair with the device'), specifies the exact input (8-character code), and tells the user exactly where to find it (Options -> Agent Link Info -> Quick Pair Computer). This is clear and complete, and no sibling tool appears to overlap with pairing.

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?

The description clearly implies when to use this tool: when the user provides an 8-character quick-pair code from the Agent Link Info screen. It does not explicitly discuss alternatives or exclusions, but none of the sibling tools obviously compete with this pairing function.

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

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