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JM-Addington

Autotask Search

by JM-Addington

get_ticket_details

Retrieve complete ticket details, including the full description and all human-created notes, for context beyond search results.

Instructions

Get complete details for a specific ticket including all notes.

Use this tool when you need full information about a specific ticket, including the complete description and all human-created notes. This provides more context than search results alone.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idYesThe numeric task ID (from search results)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

The description discloses the scope of data returned ('complete details', 'all human-created notes') and positions it as providing more context than search results. However, with no annotations provided, the description carries the full burden for behavioral transparency; it does not explicitly state read-only nature, permissions, or any side effects, which would be expected for a get operation.

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 concise and front-loaded, with the purpose stated in the first sentence. There is some redundancy between 'complete details' and 'full information' and the repetition of 'including all notes', but overall it is well-structured and free of unnecessary fluff.

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 the tool's low complexity (one required parameter) and the presence of an output schema, the description covers the essential use case and contrasts with search results. It could be more complete by explicitly noting that the tool is read-only or mentioning potential limitations such as ticket not found, but for a simple get operation it is largely adequate.

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 schema description coverage is 100% for the single parameter task_id, with a clear description ('The numeric task ID (from search results)'). The tool description does not add additional parameter-level meaning beyond what the schema already provides, so per the rubric the baseline score of 3 is appropriate.

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 purpose with a specific verb and resource: 'Get complete details for a specific ticket including all notes.' It distinguishes from siblings like search_tickets (which returns search results) and get_tickets_notes (which likely returns only notes) by emphasizing both complete details and all human-created notes.

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 provides explicit guidance on when to use the tool: 'Use this tool when you need full information about a specific ticket.' It also compares to search results ('This provides more context than search results alone'), but it does not explicitly name alternative sibling tools or state when not to use it, leaving a slight gap in exclusionary guidance.

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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