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validate_usage

Validate brand compliance by checking if a color, font, or logo usage adheres to brand guidelines. Returns pass/fail with specific guidance.

Instructions

Validate whether a specific color, font, or logo usage complies with the brand guidelines. Returns pass/fail with specific guidance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesWhat to validate
valueYesThe color hex/name, font name, or logo variant to validate
contextNoContext to validate against
useCaseNoDescription of how it's being used
Behavior4/5

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

No annotations are provided, so the description must disclose behavior. It states the tool returns 'pass/fail with specific guidance', which is transparent about output. However, it does not explicitly state that the tool is read-only or has no side effects, but the word 'validate' implies a safe operation.

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 sentence that is direct and front-loaded with the tool's purpose. It contains no unnecessary words and clearly communicates the core function.

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?

For a tool with 4 parameters and no output schema, the description is fairly complete: it explains the validation logic and the return format (pass/fail with guidance). However, it could include more detail on the 'specific guidance' or edge cases, but overall it provides sufficient context.

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% coverage for parameter descriptions, so the description adds little beyond summarizing the types ('color, font, or logo'). It does not provide additional context or usage examples for the parameters, meeting the baseline for high schema coverage.

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 it validates compliance for color, font, or logo usage against brand guidelines. It distinguishes itself from sibling tools (which are retrieval-focused like 'get_colors' or 'search_brand') by being a validation tool.

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 when to use (for checking compliance) but does not mention when not to use it or suggest alternative tools. Since siblings are mostly read tools, a brief note about using this for validation vs. retrieval would improve guidance.

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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