generate_blob_path

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

With no annotations, the description carries behavioral disclosure itself. It clearly states the output is only the d attribute rather than a full SVG element, which prevents an agent from expecting a complete blob. It does not discuss randomness or determinism, but that behavior is already covered by the seed parameter description in the schema.

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?

Two short sentences with no filler. The core behavior is front-loaded in the first sentence, and the use case in the second earns its place by helping an agent decide when to select the tool.

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 description plus the 100%-covered schema gives an agent enough to call the tool correctly: output format is specified, params are documented, and the d-attribute-only behavior is explicit. It could strengthen this by explicitly contrasting with generate_blob, but nothing critical is missing for making a correct call.

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 schema already explains all four parameters and their defaults. The description adds practical context about embedding the path but does not add parameter-specific semantics, so the baseline of 3 applies.

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 names a specific deliverable — the SVG path data string (the d attribute) — and narrows the scope with 'only', which distinguishes it from sibling tools that generate complete blobs or sets. It also signals the intended use (embedding in a custom SVG or using programmatically), so an agent can understand what this tool produces at a glance.

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 gives a clear use case: use this when you need the d path alone for embedding or programmatic use. It does not explicitly name alternatives or state when not to use it, but the 'only' qualifier and sibling names make the intended selection reasonably clear.

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