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SShadowS

Zendesk MCP Server

by SShadowS

analyze_ticket_images

Download and analyze images from a Zendesk ticket using AI vision. Supports both file attachments and inline images from comments for comprehensive ticket analysis.

Instructions

Download and analyze images from a ticket using AI vision with comprehensive analysis. Includes both file attachments and inline images embedded in comment bodies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesTicket ID
analysis_promptNoCustom analysis prompt (default: general image description)
max_tokensNoMaximum tokens for response (default: 4096, max: 4096)
include_inlineNoInclude inline images from comment HTML bodies (default: true)
Behavior2/5

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

No annotations provided, so description must fully disclose behavior. It mentions 'using AI vision with comprehensive analysis' but does not state if it is read-only, destructive, requires permissions, or what side effects may occur.

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, front-loaded with action, no extraneous words. Efficiently communicates purpose and scope.

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?

Given no output schema or annotations, the description should provide more detail on what 'comprehensive analysis' returns (e.g., format, content type). Lacks information on error handling or limitations, but is minimally adequate for a straightforward image analysis tool.

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%, so baseline is 3. The description adds minimal extra meaning beyond schema descriptions (e.g., default values). The phrase about including inline images adds context but does not significantly enhance 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 verb ('download and analyze'), the resource ('images from a ticket'), and the scope ('both file attachments and inline images'). It distinguishes from sibling tools like analyze_ticket_documents and get_ticket_attachments.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool vs alternatives. Does not mention when not to use it or compare to similar tools like get_ticket_attachments.

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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