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integration_list

Read-onlyIdempotent

Lists the Google Sheets and webhook integrations of a project as {items: [{id, type, name, connectedRiddles}]}. "name" is the value a build takes as publish.integrations.googlesheets / .webhook to connect that integration to a Riddle. A Google Sheet can only be connected in the Creator - with none listed, ask the user to add one there. A Riddle with a FileUpload form field cannot be published without a Google Sheets integration. Reads the stored records only - contacts neither Google nor any webhook.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "integration_list"
  }
}

Input Schema

NameRequiredDescriptionDefault
typeNoOnly this kind. Omit for both.
projectIdNoThe project (team) ID, as returned by project_list. Omit for the project the API key is scoped to.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior5/5

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

Beyond the readOnly/idempotent annotations it adds real behavioral context: 'Reads the stored records only - contacts neither Google nor any webhook,' which tells the agent it is a pure local read and cannot diagnose connectivity. It also discloses that a Google Sheet can only be connected in the Creator, a constraint the annotations cannot express.

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-loads the purpose, then layers the return shape and two practical constraints in four tight sentences. The inline object notation is slightly dense but earns its place because there is no output 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?

With no output schema, the description compensates by naming the returned fields, and it covers the publish-integration workflow and the empty-list case. Nothing an agent needs to call this correctly or interpret the result is missing.

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% and both parameters (type enum, projectId with default) are already documented in the schema, so the description's mention of googlesheets/webhook filtering is largely redundant. Baseline 3 applies since the schema does the heavy lifting.

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 ('Lists the Google Sheets and webhook integrations of a project') and even sketches the returned item shape and fields. An agent can tell immediately this is the read path for integration records, not a create/connect operation.

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?

Explains the downstream purpose — the returned 'name' is what a build takes as publish.integrations.googlesheets/.webhook — and gives a concrete fallback when the list is empty (ask the user to add the Sheet in the Creator). It also flags the publishing precondition for FileUpload riddles, though it never states an explicit when-not-to-use condition.

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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