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get_coverage_report

Generate a coverage report showing which frameworks and libraries in your project are supported by trace-mcp plugins, and identify any gaps in coverage.

Instructions

Technology profile of the project: detected frameworks/ORMs/UI libs from manifests (package.json, composer.json, etc.), which are covered by trace-mcp plugins, and coverage gaps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It mentions detecting from manifests and coverage gaps, but lacks details on permissions, rate limits, output format, or whether it's read-only. For a tool with zero annotation coverage, this is insufficient to inform safe and effective use.

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

Conciseness4/5

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

The description is a single, dense sentence that efficiently conveys the tool's purpose without unnecessary words. It could be slightly more structured by separating the detection and coverage aspects, but it's front-loaded and avoids redundancy.

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?

Given the complexity of analyzing technology profiles and coverage gaps, the description is moderately complete. It explains what the tool does but lacks details on output format, error handling, or dependencies. With no output schema and no annotations, more context would help, but it's adequate for a basic understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, focusing instead on the tool's purpose. A baseline of 4 is applied since the schema handles all parameter semantics.

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 tool's purpose: it provides a technology profile by detecting frameworks/ORMs/UI libraries from manifests and identifying coverage gaps for trace-mcp plugins. It specifies the verb ('detected') and resource ('frameworks/ORMs/UI libs'), though it doesn't explicitly differentiate from sibling tools like 'get_api_contract' or 'get_project_health' which might also analyze project aspects.

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?

The description offers no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, such as needing manifest files, or compare it to siblings like 'get_project_map' or 'get_tech_debt' that might provide related insights. Usage is implied only by the purpose statement.

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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