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Freshservice MCP server

Freshservice MCP server

by effytech
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

get_list_of_solution_article

Retrieve a list of solution articles from Freshservice by specifying the article ID, enabling quick access to relevant support resources.

Instructions

Get list of solution article in Freshservice.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "id": "<id>"
    },
    "name": "get_list_of_solution_article"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states the action ('Get list') without details on permissions, rate limits, pagination, or response format. For a read operation with no annotation coverage, this is insufficient to inform the agent about how the tool behaves beyond its basic function.

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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized for a simple tool, though it could be more front-loaded with additional context if needed.

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) and the presence of an output schema (which handles return values), the description is minimally adequate. However, with no annotations and incomplete parameter semantics, it lacks sufficient context for the agent to fully understand usage and behavior, making it only partially complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 1 parameter ('id') with 0% description coverage, and the tool description adds no information about parameters. It doesn't explain what 'id' refers to (e.g., article ID, category ID, or something else) or how it influences the list retrieval. With low schema coverage and no compensation in the description, this leaves the parameter's meaning unclear.

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

Purpose3/5

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

The description states the tool's purpose as 'Get list of solution article in Freshservice,' which is a clear verb+resource combination. However, it doesn't differentiate from sibling tools like 'get_solution_article' (singular vs. list) or 'get_all_solution_category' (different resource type), making it vague in distinguishing its specific scope.

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 any prerequisites, context, or exclusions, such as how it differs from 'get_solution_article' or if it's for bulk retrieval. This leaves the agent without usage direction.

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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