color_blindness_sim

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 does mention the cost ($0.001 USDC via x402), which is a useful disclosure, but it says nothing about the operation itself—whether it processes an image, returns a preview, or has side effects. With no annotations, this is minimal transparency.

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

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

The description is one short sentence and is front-loaded with the tool name and cost. Every word is functional, and there is no verbose filler. It sacrifices substance for brevity but is appropriately sized for a minimal description.

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

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

The tool has no output schema, no annotations, and a generic params object. The description gives only a category and a price, leaving the agent without essential information about the simulation's purpose, inputs, or return value. This is highly incomplete for a tool that offers no other structured guidance.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema contains only a generic 'params' object with no specific fields, so schema description coverage is effectively 100%. However, the description adds no meaning about what parameters should be provided (e.g., an image URL, color value). Per the baseline rule, high schema coverage yields a score of 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description restates the tool name ('color blindness sim') and adds only a vague category label ('Colors & Design tool'). It does not state the action, input, or output of the simulation, and it does not differentiate this tool from sibling color tools like convert_color or color_temperature.

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

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. It lacks any context about use cases, prerequisites, or exclusions, which is especially important given the large number of sibling tools in the Colors & Design category.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.