Skip to main content
Glama

code_metrics

Analyze MQL code by measuring lines of code, function count, and nesting depth for a single file or all files under a directory.

Instructions

Compute LOC/function/nesting metrics for a file or every MQL file under a root.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceNo
rootNo
Behavior2/5

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

No annotations provided, so description must carry full burden. It does not disclose side effects, behavior when both parameters are provided, or output format. Lacks details on what 'nesting metrics' entails.

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?

Single sentence, front-loaded with the action and resource, no unnecessary words. Efficient given the tool's simplicity.

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?

Given no output schema and two optional parameters, the description lacks details on return values, metric definitions, and edge cases. Incomplete for an AI agent to use confidently.

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%, so description must compensate. It vaguely maps 'source' to a file and 'root' to a directory, but does not explain parameter formats or constraints (e.g., file extensions, path types).

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 'Compute' and the specific metrics (LOC, function, nesting) for a file or directory. It distinguishes from siblings like lint_basic or syntax_check by focusing on metrics rather than code quality or syntax.

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?

No guidance on when to use this tool versus alternatives like lint_basic or syntax_check. No mention of prerequisites or context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/PHUICMT/mcp-mt5'

If you have feedback or need assistance with the MCP directory API, please join our Discord server