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generate_qa_report

Generate a comprehensive QA report with all metrics and statistics to summarize quality assurance results.

Instructions

Generate comprehensive QA report with all metrics and statistics

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 carries full burden. It states only that the tool generates a report with 'all metrics and statistics', but does not disclose behavioral traits such as whether it modifies data, requires authentication, or has performance implications. For a report generator, read-only nature is implied but not explicit.

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, concise sentence with no superfluous words. It is front-loaded with the key action and resource, making it quickly scannable. Every part earns its place.

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 zero parameters and no output schema, the description is minimally complete but lacks detail on what 'comprehensive' entails or the output format. Sibling tools suggest a testing context, but the description does not connect to the broader workflow or specify if the report is interactive or a file.

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?

There are no parameters, so schema coverage is 100% and baseline is 4. The description adds meaning beyond the schema by specifying 'all metrics and statistics', which clarifies the output scope. No further parameter detail is needed.

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 'generate' and the resource 'QA report', indicating a distinct purpose. It is not a tautology and distinguishes from sibling tools that focus on individual test cases or defects, though it could be more specific about the report scope.

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. The description does not mention conditions, prerequisites, or scenarios where it is appropriate. It fails to differentiate from other tools like 'validate_qa_output' or 'create_handoff_summary'.

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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