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enkiEng

Fortran Companion MCP Server

by enkiEng

find_large_units

Detects oversized procedures and modules in Fortran projects by analyzing code lines, nesting depth, and switch complexity, helping identify refactoring targets.

Instructions

Detects oversized procedures and modules (complexity / 'god-unit' analysis). Analyzes physical lines, actual code lines, maximum control-flow nesting depth, and SELECT CASE arity across the project. Highly useful for detecting decomposition targets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so description carries full burden. It lists what metrics are analyzed but does not disclose side effects, permissions, performance, or output details beyond the analysis scope.

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?

Two efficient sentences: first defines purpose, second elaborates on analysis metrics. No redundancy or unnecessary words.

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

Completeness4/5

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

The tool has an output schema (not shown in description) so return values are covered. Missing are prerequisites/error conditions, but for a simple analysis tool, the description is mostly adequate.

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?

Schema coverage is 0% with one required parameter (project_path). The description does not explain what project_path should point to or any constraints, despite the low coverage requiring compensation.

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 it detects oversized procedures/modules via complexity analysis. It lists specific metrics (lines, nesting depth, case arity) and distinguishes from sibling tools by focusing on 'god-unit' detection.

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 use for finding decomposition targets ('highly useful for detecting decomposition targets'), but does not specify when to avoid using it or mention alternative tools among siblings.

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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