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set_effect_range

Set effect high and/or low values for the current selection to define the range of effect parameters.

Instructions

Set effect high and/or low values for the current selection.

At least one of high or low must be provided.

Args:
    high: Effect high value (optional)
    low: Effect low value (optional)

Returns:
    str: Operation result message

Examples:
    - Set effect range high=100, low=0
    - Set only effect high to 80

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
highNo
lowNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the burden. It states it sets values for the current selection but does not disclose side effects, permissions, or whether the operation is reversible.

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

Conciseness5/5

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

The description is concise, with purposeful sections (purpose, constraints, args, returns, examples) and no wasted words.

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

Completeness4/5

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

Given the tool's simplicity, the description covers the essential constraints and provides examples. The output schema exists, so return value explanation is not required. It is largely complete, though mentioning the effect on the current selection could add context.

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

Parameters4/5

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

Schema coverage is 0%, so the description compensates by documenting the parameters in the Args section and providing examples, adding meaning beyond the bare JSON schema.

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

Purpose5/5

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

The description clearly states the verb 'Set' and the resource 'effect high and/or low values for the current selection', which is specific and distinguishes from sibling tools like set_effect_envelope or set_effect_form.

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description includes the constraint 'At least one of high or low must be provided', but does not provide explicit guidance on when to use this tool versus alternatives or when not to use it.

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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