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asachs01

Autotask MCP Server

by asachs01

autotask_router

Describe your goal in natural language and get the appropriate Autotask tool suggestion with pre-filled parameters, eliminating guesswork.

Instructions

Intelligent tool router - describe what you want to do and get the right tool suggestion with pre-filled parameters. Use this when unsure which tool to call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
intentYesNatural language description of what you want to do (e.g., "find tickets for Acme Corp", "log 2 hours on ticket 12345", "create a quote for client")
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. The description does not mention any behavioral traits such as side effects, auth requirements, rate limits, or whether it is read-only. For a router tool, this information is important to set expectations.

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 concise sentences with no redundant information. Every sentence adds value, and the purpose is front-loaded.

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?

Given that the tool is a router to many sibling tools, the description adequately conveys its purpose and usage. However, it does not describe the output format (e.g., what the suggestion looks like), leaving some ambiguity. The presence of no output schema increases the need for explanation.

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?

The single parameter 'intent' has a description with concrete examples (e.g., 'find tickets for Acme Corp'), adding value beyond the schema's type definition. Schema coverage is 100%, so the description enriches the parameter understanding.

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's function as a router: 'Intelligent tool router - describe what you want to do and get the right tool suggestion with pre-filled parameters.' This distinguishes it from the many specific sibling tools that perform direct operations.

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 advises when to use this tool: 'Use this when unsure which tool to call.' This provides clear context, though it does not mention when not to use it (e.g., when you already know the correct tool).

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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