Skip to main content
Glama
barissozudogru

test-intel-mcp

Analyze Test Coverage

analyze_test_coverage

Parse lcov, Istanbul, or Cobertura coverage reports to identify uncovered files, functions, lines, and branch gaps, pinpointing where tests are missing.

Instructions

Parse a coverage report (lcov, istanbul JSON, or cobertura XML) and return uncovered files, functions, lines, and branch gaps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNoCoverage format. Auto-detected from file extension if omitted.
coverage_pathYesPath to the coverage file (lcov.info, coverage-summary.json, coverage.xml, etc.)
Behavior3/5

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

With no annotations provided, the description carries the full burden. It states what inputs it accepts and what it returns, but does not disclose side effects (though it's likely a read-only operation), error handling, or format auto-detection details (though that's in the schema). It adds some value by listing the output types (files, functions, lines, branch gaps) but lacks deeper behavioral context like return structure or failure modes.

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, well-formed sentence that conveys the key information without fluff: what it parses, which formats, and what it returns. It is efficiently front-loaded and every word earns its place, making it highly concise and well-structured.

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?

The tool is relatively simple (2 params, one required, no output schema). The description covers the core function but omits details like error behavior, output structure, and how it handles unsupported formats. Given the absence of annotations and output schema, the description could be more complete, but it is adequate for a basic analysis tool.

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%: both coverage_path and format have descriptions in the schema. The tool description does not add extra meaning beyond what's in the schema. Per the rubric, baseline is 3 when the schema covers all parameters, and since the description adds no additional parameter semantics, a 3 is appropriate.

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 parses coverage reports in specific formats (lcov, istanbul JSON, cobertura XML) and returns uncovered files, functions, lines, and branch gaps. This specific verb+resource+output distinguishes it from sibling tools like suggest_test_cases or find_untested_functions, which focus on different aspects of test coverage.

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 when a developer has a coverage report and wants to identify gaps, but it does not explicitly discuss when NOT to use it or mention alternative tools. Sibling tools like find_untested_functions might be better for per-function analysis, but this is not stated. There is clear scope but no explicit exclusions or alternatives.

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/barissozudogru/test-intel-mcp'

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