replicate_create_prediction

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

No annotations are provided, and the description fails to mention critical behavioral traits: predictions are asynchronous, require polling, may incur costs, and have rate limits. The description 'create a prediction' is too vague for a computational tool.

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 single sentence with no waste, but it is overly minimal. It is not structured with bullet points or sections, making it less scannable. It earns a 3 for being concise but not well-structured.

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?

Given 6 parameters, no output schema, and no annotations, the description is insufficient. It does not explain the return value, the asynchronous behavior, error scenarios, or how to handle the prediction ID. A more complete description is needed for a creation tool that triggers background processing.

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 description adds no parameter semantics beyond the input schema. With 50% schema description coverage, the description should compensate for undocumented parameters like webhook and stream, but it does not.

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 uses a specific verb 'Run' and clearly identifies the resource 'a Replicate model' and the action 'creating a prediction'. It distinguishes this tool from siblings like replicate_get_prediction and replicate_cancel_prediction by focusing on creation.

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 on when to use this tool vs alternatives such as replicate_get_prediction for checking results. The description lacks any context about prerequisites or comparison with sibling tools.

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