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get_component_importance

Analyze a Karate project's dependency graph to retrieve nodes sorted by architectural importance, pinpointing critical components.

Instructions

Get nodes sorted by their architectural importance (huyết mạch).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_nameYesName of the analyzed project.

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 present, so the description must disclose all behavioral traits. It only mentions sorting by 'architectural importance' without explaining what that means, whether the tool is read-only, or any prerequisites (e.g., project must be registered).

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

Conciseness3/5

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

The description is a single sentence, making it brief but lacking necessary details about the output or the concept of 'architectural importance'. It is not optimally front-loaded with critical information.

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?

An output schema exists but is not shown here. The description does not explain what the output contains (e.g., node IDs, scores). For a simple tool with one parameter, the description is somewhat complete but could be more informative about the sorting criteria and output format.

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?

The input schema covers the single parameter `project_name` with a clear description. The tool description does not add meaning beyond the schema, so baseline 3 is appropriate.

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 'get' and resource 'nodes sorted by architectural importance', indicating a retrieval and sorting operation. However, it does not differentiate from sibling tools like 'get_impact_radius' or 'get_project_health' that also analyze project components.

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 versus alternatives such as 'analyze_project' or 'impact_analysis'. The description lacks context for appropriate invocation.

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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