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FDEP MCP Server

FDEP MCP Server

by juspay
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

get_class_details

Retrieve comprehensive class information including methods and instances for static analysis of Haskell codebases.

Instructions

Get detailed information about a specific class including methods and instances

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": {
      "class_name": "<class_name>"
    },
    "name": "get_class_details"
  }
}

Input Schema

NameRequiredDescriptionDefault
class_nameYesName of the class
module_nameNoModule containing the class (optional)
include_instancesNoInclude class instances

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions what information is returned ('methods and instances') but doesn't disclose behavioral aspects like whether this is a read-only operation, if it requires specific permissions, how it handles missing classes, or what the output format looks like. For a tool with 3 parameters and no output schema, this is insufficient.

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 that front-loads the core purpose. Every word earns its place, with no redundant or vague phrasing. It's appropriately sized for a straightforward retrieval tool.

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 3 parameters, 100% schema coverage, no output schema, and no annotations, the description is minimally adequate. It states what the tool does but lacks behavioral context and usage guidance. For a tool in a complex sibling set with many alternatives, more completeness would be helpful.

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 description coverage is 100%, so the schema fully documents all parameters. The description adds no additional parameter semantics beyond implying that 'methods and instances' relate to the 'include_instances' parameter. This meets the baseline of 3 when schema coverage is high.

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 verb 'Get' and resource 'detailed information about a specific class', specifying what information is included ('methods and instances'). It distinguishes from siblings like 'list_classes' which likely provides only names, but doesn't explicitly differentiate from 'get_type_details' which might overlap in functionality.

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 like 'get_type_details', 'search_classes', or 'list_classes'. It doesn't mention prerequisites, exclusions, or comparative contexts, leaving the agent to infer usage from the tool name alone.

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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