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Re-send the customer intake invite email

resend_intake_invite

Re-fire the 'your developer sent you a project intake' email to the project's customer. Throws invalid_request if the project has no customerEmail (the dev needs to set one via the dashboard first — customer email isn't agent-patchable). Use when the customer says they didn't receive the link.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesproject id to re-send the intake invite for

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / id / description
      Added value: +"project id to re-send the intake invite for"
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$schema": "http://json-schema.org/draft-07/schema#",
      +  "additionalProperties": false,
      +  "properties": {
      +    "result": {}
      +  },
      +  "required": [
      +    "result"
      +  ],
      +  "type": "object"
      +}
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations provide idempotentHint=false and openWorldHint=true. Description adds context: error on missing customerEmail and that customer email isn't agent-patchable. No contradiction; adds value beyond annotations.

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: action description and usage guideline. No wasted words, front-loaded with key 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 simple one-parameter tool with output schema, the description is sufficient. Covers main behavior and error scenario. Not missing critical information.

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 coverage is 100% with a clear parameter description. The tool description does not add additional meaning beyond the schema, meeting the baseline expectation.

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

Purpose4/5

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

The description clearly states the action: re-fire the intake invite email to the project's customer. It specifies the error condition (no customerEmail). However, it does not explicitly differentiate from the sibling 'resend_confirmation', which could cause ambiguity.

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?

Explicit usage guideline: 'Use when the customer says they didn't receive the link.' Also explains precondition (customerEmail must be set via dashboard). Lacks explicit when-not-to-use but is clear for a simple tool.

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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