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apply_prompt_optimization

Replace a workflow step's prompt with an optimized version to improve AI workflow performance.

Instructions

Apply an optimized prompt to a workflow step.

Args: workflow_id: UUID of the workflow step_id: UUID of the step prompt: The new prompt text to apply

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workflow_idYes
step_idYes
promptYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, and the description does not disclose any behavioral traits beyond the literal action. It fails to mention whether the prompt is overwritten, if it triggers workflow updates, or any side effects.

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

Conciseness3/5

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

The description is a single line plus an Args section that redundantly lists parameters already in the schema. It could be more concise or structured to add value.

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

Completeness2/5

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

Given the tool modifies a workflow, the description is incomplete. It does not explain return values (output schema exists but not shown), nor does it relate to sibling tools like 'optimize_prompt' for proper usage context.

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

Parameters1/5

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

Schema description coverage is 0%, yet the description only lists parameter names without adding any meaning. It does not explain format, constraints, or relationships between parameters.

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

Purpose4/5

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

The description clearly states the action and resource: 'Apply an optimized prompt to a workflow step.' It uses a specific verb and resource, but does not differentiate from sibling tools like 'optimize_prompt' or 'run_workflow'.

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

Usage Guidelines2/5

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. It does not mention prerequisites, when not to use, or what to do before calling (e.g., generating the optimized prompt).

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

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