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Confirm the connection

confirm_connection
Idempotent

Confirms the API key works and tells Emailchaser which AI assistant connected. Call it as your first action after connecting, and whenever the user asks you to confirm or check the Emailchaser connection: it records the assistant and time on the key, which the app's API & MCP page watches to show the user you are in, and completes the 'Connect your AI' onboarding step. Idempotent: repeat calls simply refresh the record. Works with read-only keys as well as read & write keys.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentNoYour name in any form, e.g. claude, chatgpt, cursor, gemini. Normalized to a short lowercase identifier and echoed back

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Annotations already cover idempotency and non-destructiveness, but the description adds real behavioral context: it writes the assistant name and timestamp onto the key, that record is what the app's API & MCP page surfaces to the user, it completes an onboarding step, and it works with read-only keys. That permission and side-effect disclosure goes well beyond the annotation set.

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?

Front-loaded with the core effect, then trigger conditions, then side effects and the idempotency caveat. It runs slightly long and the idempotency clause partially duplicates the annotation, but every sentence carries actionable information.

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 zero-required-parameter, no-output-schema tool, the description covers purpose, timing, side effects and permission compatibility. It does not describe the shape of the confirmation response (e.g. what 'confirms the API key works' returns on failure), which is the only meaningful gap.

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% and the single 'agent' parameter is thoroughly documented in the schema (free-form name, normalization, echo behavior). The description does not mention the parameter at all, so it adds no value over the structured field; 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 effect: confirms the API key works and registers which AI assistant connected. No sibling tool does anything comparable, so the agent can distinguish it immediately from the read/write tools in the list.

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 explicit triggers: 'call it as your first action after connecting' and 'whenever the user asks you to confirm or check the Emailchaser connection'. It also defines the state it completes ('the Connect your AI onboarding step'), removing any ambiguity about timing.

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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