generate_gradient_blob

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

There are no annotations, so the description carries the full burden of disclosing behavior. It does not mention the output format (e.g., SVG string), whether it returns a file or URL, or how seed/randomness affect the result. The description adds little beyond the basic action; the only concrete hint (SVG) lives in the parameter schema, not the description.

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 a two-sentence, front-loaded statement that gets straight to the point: what it generates and a typical use case. There is no filler or redundant phrasing, and every sentence earns its place.

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 schema fully documents 7 parameters with defaults, which covers the input side well. However, with no output schema and no annotation, the description is incomplete about the tool's return value and output behavior. An agent can infer SVG from 'Width and height of the SVG' in the schema, but the description itself does not confirm this, leaving a notable gap.

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 100%, so the baseline is 3. The description adds no additional parameter meaning beyond what the schema already provides for fields like gradient_angle and gradient_colors. It references gradients generally but does not clarify usage beyond the schema.

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 object: 'Generate a blob filled with a linear gradient.' This clearly distinguishes it from sibling tools like generate_blob (plain blob), generate_blob_path (path only), and generate_blob_set (multiple blobs) via the 'linear gradient' qualifier.

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?

It provides a clear use context: 'Great for modern UI elements and hero illustrations.' However, there is no explicit guidance on when to prefer this tool over the siblings, such as 'use generate_blob_path when only a path is needed.' Thus it offers clear context but no exclusions.

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