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juspay

FDEP MCP Server

by juspay

get_function_call_graph

Analyze function call hierarchies to visualize what functions call and are called by a specific function in Haskell codebases.

Instructions

Get function call hierarchy showing what functions this function calls and what calls it

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
function_nameYesName of the function
module_nameNoModule containing the function (optional but recommended)
depthNoMaximum depth to traverse (default: 2)
include_callersNoInclude functions that call this function
include_calleesNoInclude functions called by this function
Behavior2/5

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

With no annotations provided, the description carries full burden but only states what the tool does, not how it behaves. It doesn't disclose performance characteristics, error conditions, data sources, or what happens with invalid inputs. The description is functional but lacks behavioral context needed for a tool with 5 parameters.

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 clearly communicates the core functionality. Every word earns its place with no redundancy or unnecessary elaboration. It's appropriately sized for the tool's complexity.

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?

For a tool with 5 parameters, no annotations, and no output schema, the description is insufficient. It doesn't explain what the output looks like (hierarchy format, data structure), doesn't mention performance considerations for large codebases, and provides no context about data sources or limitations. The description is functional but lacks completeness for effective tool selection.

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 5 parameters. The description mentions 'what functions this function calls and what calls it' which aligns with include_callees and include_callers parameters, but adds no additional semantic context beyond what the schema already provides.

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 tool's purpose with specific verbs ('get function call hierarchy') and resources ('functions'), distinguishing it from siblings like get_function_callees and get_function_callers by combining both directions in one tool.

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 function call relationships but doesn't explicitly state when to use this tool versus alternatives like enhanced_function_call_graph or separate get_function_callees/get_function_callers tools. No explicit exclusions or prerequisites are 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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