Skip to main content
Glama
asachs01

Autotask MCP Server

autotask_get_field_info

Retrieve field definitions including picklist values for any Autotask entity type. Use this to discover valid values for picklist fields when querying entities.

Instructions

Get field definitions for an Autotask entity type, including picklist values. Useful for discovering valid values for any picklist field.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entityTypeYesThe Autotask entity type (e.g., "Tickets", "Companies", "Contacts", "Projects", "ProjectTasks", "TicketNotes"). Note: project tasks use "ProjectTasks" (or "Tasks" which auto-maps). See Autotask REST API entity names.
fieldNameNoOptional: filter to a specific field name
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It states the tool retrieves definitions and picklist values, implying a read operation, but does not explicitly confirm side effects, rate limits, or authentication needs. Adequate but not thorough.

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 sentences, no waste, front-loaded with the core purpose. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description lacks details about the output structure (e.g., what fields are returned). With no output schema, the agent must infer the response format. While functional, it leaves some ambiguity for an AI agent deciding how to use the result.

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 100% and both parameters have clear descriptions. The description adds the concept of 'discovering valid values for picklist fields,' which goes beyond the schema's descriptions and provides actionable context for the agent.

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 states the tool retrieves field definitions for an Autotask entity type, including picklist values, using the verb 'get' and specifying the resource. It distinguishes itself from sibling tools (which are mostly CRUD for entities) by being a schema discovery tool.

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?

The description explicitly states it is 'useful for discovering valid values for any picklist field,' giving clear usage context. While it doesn't mention when not to use it or alternatives, the sibling tool set makes the use case obvious.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/asachs01/autotask-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server