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asachs01

Autotask MCP Server

autotask_get_field_info

Retrieve field definitions and picklist values for any Autotask entity type to discover valid picklist options and field metadata.

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 must fully disclose behavior. It states the tool retrieves field definitions and picklist values, which is accurate but minimal. It does not cover what happens with invalid entity types or permissions needed.

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?

The description is two sentences with no wasted words, directly addressing purpose and usefulness. It is front-loaded with the key action and resource.

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?

For a simple metadata tool, the description covers the basics. However, without an output schema, it does not specify the structure of returned field definitions, leaving some ambiguity about what exactly is returned.

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?

Schema coverage is 100% with good parameter descriptions. The description adds no new semantic information beyond what is already in the schema, meriting the baseline score of 3.

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 verb 'Get field definitions' and the resource 'Autotask entity type', including specific mention of picklist values. It effectively distinguishes this metadata tool from the many CRUD siblings.

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 the tool is 'useful for discovering valid values for any picklist field', giving clear context. However, it does not mention when not to use it or provide alternatives, which are not necessary given its unique purpose.

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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