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process_reports_folder

Analyze Karate JSON reports from a directory, generate interactive visualizations, and receive AI-summarized failure details for your project.

Instructions

Scan a directory for Karate JSON reports, apply them, and generate a visualization. Returns an AI-distilled summary of failures.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_nameYesName of the analyzed project.
directory_pathYesPath to the directory containing Karate JSON reports.
output_pathNoOptional custom path to save the HTML file.

Output 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 behavior. It mentions scanning and applying reports but does not clarify if the tool modifies data, writes files (though output_path implies saving), or what happens on failure. The phrase 'apply them' is vague, and side effects are not explicitly stated.

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 very concise: two sentences covering the main function and return value. Every word adds value, with no redundancy or filler.

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 tool's complexity (3 parameters, file scanning and generation), the description is minimal. With an output schema present, the return value is partially covered, but the description lacks details on process steps, error handling, and output file behavior. It is adequate but not thorough.

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%, so the schema already explains the three parameters. The description adds context about the overall process (scanning, applying, generating) but does not elaborate on individual parameter usage beyond what the schema provides.

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 it scans a directory for Karate JSON reports, applies them, and generates a visualization, returning an AI-distilled summary. The verb 'scan' and resource 'Karate JSON reports' are specific, and the purpose is distinct from generic report tools, though sibling tools like 'render_execution_report' could overlap.

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 is provided on when to use this tool vs alternatives. Sibling tools like 'render_execution_report' and 'visualize_project' exist but are not mentioned. The description does not specify prerequisites, limitations, or conditions for use.

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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