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ServiceTitan MCP

marketing_opt_in_outs_list

Read-onlyIdempotent

Retrieve all marketing phone opt-out records for the tenant from the v3 opt-in/out endpoint. This unfiltered list supports honoring opt-out preferences.

Instructions

Retrieve the tenant's marketing phone opt-out records from the v3 opt-in/out endpoint. This operation accepts no filters or pagination inputs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv3.0.0
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$schema": "http://json-schema.org/draft-07/schema#",
      +  "additionalProperties": true,
      +  "properties": {},
      +  "type": "object"
      +}
  2. First observedv2.5.1

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior. The description adds a useful behavioral constraint: the operation accepts no filters or pagination inputs. This goes beyond the empty schema and prevents agents from expecting unsupported query parameters.

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 concise sentences with no wasted words. The purpose is front-loaded and the no-filter constraint is stated clearly in the second sentence.

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?

For a zero-parameter, read-only, non-destructive operation with an output schema, the description is complete. It tells the agent exactly what data is returned and what limitations apply.

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?

There are zero parameters, so the baseline is 4. The description reinforces that no filters or pagination inputs exist, which adds meaningful guidance beyond the empty input schema.

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 uses a specific verb and resource: retrieve the tenant's marketing phone opt-out records. It clearly distinguishes this tool from the many marketing_calls_* siblings by focusing on opt-out records rather than call logs or campaigns.

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

Usage Guidelines3/5

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

Usage is implied: use this tool when you need the tenant's marketing phone opt-out records. However, it does not explicitly name alternatives or state when not to use it, leaving some routing judgment to the agent.

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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