list_services_ultrablur_image

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

Annotations already declare the tool safe and read-only, so the description doesn't need to repeat that. It adds a useful behavioral note that noise affects output size and reduces banding. However, it doesn't disclose what the response format is, any rate limits, or authentication requirements—though an output schema exists.

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 well-structured with a clear endpoint line and a compact argument list. Every sentence is informative, but the 'Args' section is a bit redundant with the schema property names; still, it earns its place by adding explanations.

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?

For a simple read-only image generator, the description covers the endpoint, all parameters, and one behavioral side-effect. The output schema handles return details, so nothing essential is missing for invoking the tool, though a brief line on intended use would make it fully self-contained.

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?

Schema description coverage is 0%, and the description fully compensates by clearly explaining every parameter: hex colors for quadrants, pixel dimensions, and the noise effect. It gives type hints and practical implications (e.g., larger image with noise), far exceeding what the bare schema provides.

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 states a specific verb and resource ('Get UltraBlur Image') and provides the HTTP endpoint, so the agent knows it's a read-only image fetch. However, it does not explain what UltraBlur Image actually is or why one would use it, and it doesn't differentiate from sibling tools like list_services_ultrablur_colors.

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?

No guidance is provided on when to choose this tool over alternatives. There are no exclusions, prerequisites, or context such as 'use this when you need an image rather than a color list'. The agent is left to infer usage from the sibling set.

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