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solver_schedule_optimization

Optimize your schedule by providing a free-text objective and optional structured inputs. The domain agent processes your request within your tenant and company scope.

Instructions

Run the solver domain agent action schedule_optimization.

Routes through the platform's domain-agent dispatcher under your JWT, tenant, and company scope.

Args: message: Free-text objective for the action. inputs: Optional JSON string of structured inputs for the action.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageNo
inputsNo{}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states it 'runs' an action and 'routes through the platform's domain-agent dispatcher', but does not clarify whether it is destructive, idempotent, or what side effects occur. The behavior of scheduling optimization is not described.

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 short (three sentences) but not optimally structured. The first sentence defines the action, the second explains routing, and the third lists arguments. It could be more succinct by merging the first two sentences. The argument list is clear but not front-loaded with the most critical information.

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 that an output schema exists, the description doesn't need to explain return values, but it fails to cover other contextual aspects such as prerequisites, success/failure behavior, or typical use cases. For a solver tool that likely involves complex optimization, the description is insufficiently complete.

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

Parameters3/5

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

Schema description coverage is 0%, and there are 2 parameters with defaults. The description adds 'message: Free-text objective for the action' and 'inputs: Optional JSON string of structured inputs for the action', which provides basic meaning beyond the schema's type/default. However, it lacks detail on format, constraints, or examples, so it is minimally adequate.

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

Purpose3/5

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

The description states it runs the 'solver domain agent action schedule_optimization', which names the specific action but does not explain what scheduling optimization does. It is not a tautology but lacks a clear, standalone purpose statement that would differentiate it from other solver tools like solver_solve_optimization.

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?

The description provides no guidance on when to use this tool versus alternatives. It mentions routing under JWT/tenant/company scope, which is authentication context rather than usage direction. No exclusions or alternative tools are referenced.

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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