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SShadowS

Zendesk MCP Server

by SShadowS

analyze_ticket_documents

Analyze all document attachments from a Zendesk ticket, including PDFs, DOCX, and CSV files. Use custom prompts to extract insights, filter by document type, or enable quick mode for faster analysis.

Instructions

Comprehensively analyze all document attachments from a ticket (PDF, DOCX, TXT, CSV, etc). v2.1 with truncation. Note: This may take 30-60 seconds for multiple documents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesTicket ID
analysis_promptNoCustom prompt for document analysis
max_tokensNoMaximum tokens for response (default: 4096)
include_imagesNoAlso analyze image attachments (default: true)
document_typesNoFilter specific document types to analyze
quick_modeNoQuick mode: analyze only first 3 documents (default: false)
Behavior3/5

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

Description discloses truncation (v2.1 with truncation) and a 30-60 second duration for multiple documents, which is helpful. However, it claims to 'comprehensively analyze all' documents, while the schema includes quick_mode and document_types filters, creating a slight contradiction. No permissions or side effects are mentioned.

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?

Description is two sentences plus a note, efficient and front-loaded with key info. The version number 'v2.1' may be unnecessary but does not significantly detract.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 6 parameters and no output schema or annotations, the description is incomplete. It does not explain return values, the role of analysis_prompt, or reconcile 'all' documents with quick_mode filtering. Key behavioral details are missing.

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 descriptions for all 6 parameters, so description adds minimal value beyond the schema. It provides context about truncation and time but does not elaborate on specific parameters like analysis_prompt or quick_mode.

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 'analyze' and the resource 'document attachments from a ticket', listing supported formats (PDF, DOCX, TXT, CSV, etc.). It distinguishes from sibling tools like analyze_ticket_images and get_ticket_attachments by specifying document analysis.

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

Usage Guidelines3/5

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

The description implies usage for analyzing ticket documents but does not explicitly state when to use this tool over alternatives like analyze_ticket_images. No when-not-to-use guidance or prerequisite context is provided.

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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