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autotask_create_ticket_attachment

Upload a file attachment to an existing Autotask ticket by providing base64-encoded content. Validates the decoded size against the 3 MB limit before sending.

Instructions

Upload a file attachment to an existing ticket. The file content must be passed as a base64-encoded string in the data field (MCP is JSON-RPC, so binary bytes must be base64-encoded). Autotask enforces a 3 MB hard limit on ticket attachments; this tool validates the decoded size before calling the API and returns a clear error if the limit is exceeded. Example: { ticketId: 12345, title: "screenshot.png", data: "iVBORw0KGgoAAAANSUhEUgAA..." }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ticketIdYesThe ticket ID to attach the file to
titleYesDisplay title for the attachment (typically the filename, e.g. "screenshot.png")
dataYesBase64-encoded file content. Maximum decoded size: 3 MB (Autotask ticket attachment limit). Example: read a file and pass its base64 representation here.
fullPathNoOriginal filename including any path. Defaults to `title` if not provided.
contentTypeNoMIME type of the file (e.g. "image/png", "application/pdf"). Optional.
publishNoVisibility: 1 = All Autotask Users (default), 2 = Internal Users Only
Behavior5/5

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

With no annotations provided, the description fully carries the burden. It explains the base64 encoding requirement due to JSON-RPC, the 3 MB hard limit, and that the tool validates the size and returns a clear error. This goes beyond schema details.

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 only 4 sentences, each earning its place: purpose, encoding requirement, size validation, example. No wasted words, well-structured.

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 no output schema and no annotations, the description covers key behavioral aspects but omits what the tool returns on success (e.g., attachment ID). An example of return value would improve completeness.

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%, so baseline is 3. The description adds value by explaining the rationale for base64 encoding and the 3 MB limit for the 'data' parameter, and reinforces the default for 'fullPath'. This helps the agent understand constraints.

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 uploads a file attachment to an existing ticket, specifying the verb 'upload' and resource 'ticket attachment'. It distinguishes from sibling tools like autotask_get_ticket_attachment and autotask_search_ticket_attachments by focusing on creation.

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 explains when to use this tool (attach file to ticket) and provides usage context like base64 encoding and size limit. It does not explicitly state when not to use it or mention alternatives, but the context is clear enough given the sibling list.

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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