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Validate FTC Code

validate_ftc_code
Read-only

Validate FTC Java code for common mistakes and anti-patterns to ensure competition-ready robot reliability.

Instructions

Validate FTC Java code for common mistakes and anti-patterns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesJava code to validate

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
issueCountYes
issuesYes
Behavior3/5

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

Annotations already declare readOnlyHint true and openWorldHint false. The description adds that it checks for common mistakes and anti-patterns, but lacks details on validation specifics (e.g., error reporting style).

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?

A single sentence, front-loaded, with no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given low complexity (one param, output schema exists, annotations present), the description is fairly complete, though it could mention the 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?

With 100% schema coverage and only one parameter clearly described in the schema, the description adds minimal value beyond 'Java code to validate'.

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 validates FTC Java code for common mistakes and anti-patterns, distinguishing it from siblings like scan_project and search_knowledge.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for validating FTC code but does not explicitly provide when to use or when not to use compared to sibling tools.

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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