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effytech

Freshservice MCP server

by effytech

list_all_ticket_conversation

Retrieve all conversations associated with a specific ticket in Freshservice to track interactions, resolve issues, and maintain context efficiently.

Instructions

List all conversation of a ticket in freshservice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ticket_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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. It states a read operation ('List'), implying it's non-destructive, but doesn't cover critical aspects like authentication needs, rate limits, pagination, error handling, or what 'all conversation' entails (e.g., includes notes, replies). For a tool with zero annotation coverage, this is a significant gap in transparency.

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 a single, efficient sentence with zero waste—it directly states the tool's purpose without redundancy. It's appropriately sized for a simple list operation and front-loaded with the core action, making it easy to parse quickly.

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 the tool's low complexity (1 parameter, no nested objects) and the presence of an output schema (which handles return values), the description is minimally adequate. However, with no annotations and low schema coverage, it lacks completeness in behavioral context and parameter details, leaving gaps for the agent to navigate.

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 input schema has 1 parameter with 0% description coverage, so the schema provides no semantic details. The description adds no parameter information beyond what's implied by the tool name (e.g., it doesn't explain what 'ticket_id' represents or its format). Since schema coverage is low, the description fails to compensate, resulting in minimal added value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('List all conversation') and target resource ('of a ticket in freshservice'), providing specific verb+resource pairing. However, it doesn't differentiate from sibling tools like 'get_ticket_by_id' or 'update_ticket_conversation' which might also involve ticket conversations, leaving room for ambiguity in tool selection.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a valid ticket ID), exclusions, or comparisons to siblings like 'get_ticket_by_id' (which might include conversations) or 'update_ticket_conversation' (which modifies them), leaving the agent to infer usage context.

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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