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code_complexity

Analyze code complexity metrics to detect hard-to-maintain code and guide refactoring decisions.

Instructions

code complexity — Other Utilities tool. Costs $0.001 USDC via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNoTool parameters as JSON object
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. It does disclose that the tool costs $0.001 USDC via x402, which is useful, but it says nothing about how the tool behaves, what inputs it expects, or what happens on success or failure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded, but the first half is a redundant restatement of the tool name. The cost sentence is the only distinct piece of information. It is minimally structured and under-specified, though not padded with fluff.

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

Completeness1/5

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

For a tool with a generic params wrapper, no output schema, and no annotations, the description is grossly inadequate. It does not explain how to provide code input, what file types or languages are supported, or what the output represents. An agent would not be able to invoke this tool correctly.

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 schema has only a generic 'params' object described as 'Tool parameters as JSON object,' which provides no real semantic meaning. The description adds no parameter details, so an agent cannot infer what keys or values the tool needs. Although schema coverage is nominally 100%, the wrapper object hides all actual parameters, and the description does not compensate.

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

Purpose2/5

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

The description is essentially a tautology: 'code complexity — Other Utilities tool.' It restates the tool name and adds only a generic category, with no verb or explanation of what the tool actually computes or returns. It does not distinguish the tool from siblings like code_stats or code_beautify.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives. The description only mentions cost and a payment method; it does not indicate scenarios, prerequisites, or exclusions.

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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