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pair_device

Connect a car, smart speaker, robot or other device to KissCode. Use this when the user says something like 'connect my car to KissCode'. Returns a short code: read the 'say' text aloud; the owner approves on their phone at kisscode.ai. Then call pairing_status every few seconds.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYes
nameNoe.g. 'Nick's Tesla'
makerNoe.g. Tesla
modelNoe.g. Model Y
personaNoOptional agent persona: {name, gender: m|f, age (21+), city}

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

No annotations are provided, so the description carries the full burden and does so well: it discloses the async human-in-the-loop flow (returned 'say' text must be read aloud, owner approves on their phone at kisscode.ai) and the required polling of pairing_status. These are non-obvious traits an agent would otherwise get wrong.

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?

Three sentences, front-loaded with purpose, then trigger, then operational flow. No filler and nothing redundant with the schema.

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?

There is no output schema, and the description compensates by explaining what is returned ('a short code' plus 'say' text) and what must happen next. Combined with an 80%-covered input schema, an agent has everything needed to call it and continue the flow.

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 80%, so the schema already documents kind, name, maker, model and persona; the enum is likewise in the schema. The description's device examples loosely overlap the enum but add no syntax, formatting, or constraints beyond it, so baseline 3 applies.

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?

States a specific verb and resource ('Connect a car, smart speaker, robot or other device to KissCode') and names the device kinds that will be passed as the required 'kind' param. An agent can distinguish this from pair, register_agent, or the sibling pairing_status without opening the schema.

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

Usage Guidelines5/5

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

Gives an explicit trigger ('Use this when the user says something like \'connect my car to KissCode\'') and then routes the agent to the follow-up tool: 'Then call pairing_status every few seconds.' Both when-to-use and the next step are spelled out.

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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