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List Integrations

list_integrations
Read-onlyIdempotent

List which outside services the authenticated user has connected — ticket boards, stored connector credentials (name, kind, whether configured, and when last verified) and the connectors available to call them. Returns configured / not configured facts, names and dates ONLY, and never returns a secret value. Read this before planning a workflow that reaches an external service, so a step is not written against a credential the user has not registered. Requires authentication.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -{
-  "additionalProperties": false,
-  "properties": {
-    "text": {
-      "type": "string"
-    }
-  },
-  "required": [
-    "text"
-  ],
-  "type": "object"
-}New value: +null
  2. Added

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already mark this as read-only, idempotent, and non-destructive, and the description adds important non-obvious behavior: it returns only configured/not-configured facts, names, and dates, and 'never returns a secret value.' This materially helps an agent trust the tool's output and avoid over-assuming credential exposure.

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, all substantive: the first defines scope, the second constrains output content, the third gives deployment guidance. Information is front-loaded, and there is no filler or repetition of annotation fields.

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?

Given the tool's simplicity (no parameters, no output schema), the description is complete: it states what the tool returns, what it never returns, why an agent should call it before workflow planning, and the authentication requirement. Nothing needed for correct invocation is missing.

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?

The tool has zero parameters and the schema fully captures this, so parameter semantics impose no burden on the description. The description still adds useful output-related semantics (what fields are returned), which exceeds the baseline for a parameterless tool.

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 clearly identifies the action ('List') and the resource ('outside services the authenticated user has connected'), and details the scope: ticket boards, stored connector credentials, and available connectors. This specificity distinguishes it from the many other list_* siblings and from generic settings tools.

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?

It explicitly instructs when to consult this tool: 'Read this before planning a workflow that reaches an external service, so a step is not written against a credential the user has not registered.' It doesn't name competing tools or state when not to use it, but the context it provides is clear and actionable.

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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