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Tradify MCP Server and API by Cotlet

List jobs

list_jobs
Read-onlyIdempotent

Jobs with number, customer, site address, status and assigned staff. Lists jobs, newest number first. By default only active jobs (every status marked active, built-in or custom); status all, a built-in status or the name of a custom status narrows it. customer_id lists that customer's jobs, and status then filters the page you get. Pass next_cursor back as cursor.

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": "list_jobs"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNo
cursorNonext_cursor from the previous call.
searchNoMatches job number, customer or reference.
statusNoactive (default), all, unassigned, assigned, scheduled, in_progress, to_invoice, on_hold, complete, cancelled or the name of a custom status.
customer_idNoOnly this customer's jobs (list_customers).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, and non-destructive behavior. The description adds useful behavioral context beyond that: newest-number ordering, default active-only scope, and how next_cursor should be passed back.

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?

The description is front-loaded and mostly efficient, but 'Jobs with number...' and 'Lists jobs' are slightly redundant. It is appropriately sized for a filtered list tool.

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?

With no output schema, the description valuably names the returned fields. It covers default scope, ordering, filtering, and pagination, leaving only minor details like search and max limit to the schema.

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?

Schema coverage is 80%, so the baseline is 3. The description adds meaning for status defaulting and the customer_id-then-status interaction, and clarifies cursor reuse, though it does not discuss search or limit.

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 gives a specific verb and resource ('Lists jobs') and adds returned fields plus ordering, so the purpose is clear. It does not explicitly differentiate from siblings such as get_job or list_customers, which keeps it below the top score.

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 explains the default active-job scope and how status all, built-in statuses, custom statuses, and customer_id interact to narrow results. It stops short of stating when to choose this over get_job or other listing alternatives.

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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