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search_java_usage

Search Java class and method usage across a project, retrieving test cases that call them.

Instructions

Search Java class/method usage and the test cases that call them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_nameYesName of the analyzed project.
queryYesJava class or method keyword/pattern.
include_methodsNoInclude JAVA_METHOD nodes in results.
limitNoMaximum number of results to return.

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 disclose behavioral traits. It implies a read operation but does not explicitly state that the tool is safe or non-destructive. There is no mention of side effects, permissions, rate limits, or result behavior beyond the basic search.

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 that front-loads the purpose. Every word is essential, and there is no redundant or extraneous 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?

Given the presence of an output schema, the description need not explain return values. However, the description is brief and does not cover edge cases, result formatting, or behavior of optional parameters like include_methods and limit. It provides adequate high-level understanding but lacks depth for complex usage scenarios.

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 has 100% description coverage, providing clear parameter semantics (project_name, query, include_methods, limit). The description adds minimal extra meaning beyond the schema—it frames the query as a Java class/method pattern, which is already in the schema description.

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 searches for Java class/method usage and the test cases that call them. It specifies the resource (Java class/method) and the action (search), and implicitly distinguishes from sibling tools like search_js_usage (JavaScript) and search_api (API).

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 provides no guidance on when to use this tool versus alternatives such as search_js_usage or search_api. It does not mention prerequisites, limitations, or when not to use it.

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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