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ServiceTitan MCP

dispatch_jobs_booked_log_get

Read-onlyIdempotent

Fetches the full booking-log audit trail for a given job ID, returned as a single unpaged resource. Ideal for reviewing booking history without pagination.

Instructions

Retrieve booking-log details for a known job ID as one unpaged audit resource. Use dispatch_jobs_get for the current job record rather than its booking audit data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesJob ID

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

A4.5/5.0
Behavior4/5

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

Annotations already indicate a safe, read-only, idempotent operation. The description adds useful context by specifying this is an unpaged audit resource, telling the agent not to expect pagination and that the data is historical booking-log detail rather than the live job record.

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 filler. The primary retrieval purpose is stated first, and the routing guidance to the sibling tool is placed second, making the most important information immediately visible.

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 single-parameter read tool with rich annotations and an output schema, the description fully covers what the tool does, the nature of the returned data, and how to choose between this tool and the closely related sibling. Nothing essential 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?

The input schema already documents the sole parameter 'id' as 'Job ID' with 100% coverage. The description's phrase 'known job ID' reinforces that the caller must already have the ID, but adds little meaning beyond what the schema provides.

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 ('Retrieve') and resource ('booking-log details for a known job ID'), and clarifies the output is 'one unpaged audit resource.' This clearly differentiates it from the sibling dispatch_jobs_get, which returns the current job record.

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?

Explicitly tells the agent to use dispatch_jobs_get when the current job record is needed rather than booking audit data. This is a clear when-to-use versus alternative directive, leaving no ambiguity.

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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