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solver_assign_resources

Assigns resources by running a solver domain agent action. Provide a message objective and optional structured inputs.

Instructions

Run the solver domain agent action assign_resources.

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 fully disclose behavior. It mentions routing through the domain-agent dispatcher under JWT/tenant/company scope, but does not describe side effects, idempotency, synchronization, or the nature of the return value. The behavioral information is insufficient for an agent to understand the tool's full impact.

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 very concise: two sentences plus an args list. It is front-loaded with the core action and routing context. No unnecessary 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?

Despite having an output schema, the description does not explain return values or behavior. The tool likely has significant effects (resource assignment), but the description lacks details on suitable objectives, constraints, and asynchronous behavior. It is incomplete for an agent to make informed usage decisions.

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?

With 0% schema coverage, the description carries the full burden. It explains 'message' as a free-text objective and 'inputs' as an optional JSON string, adding basic semantics beyond the schema. However, it could specify expected JSON format or provide examples, making it minimally helpful.

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 states 'Run the solver domain agent action assign_resources', which clearly identifies the verb and resource. The action name implies resource assignment, and the description adds context about routing and scope. However, it could more explicitly explain what 'assign resources' means in practice, but it is generally clear.

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 over sibling solver tools such as solver_schedule_optimization or solver_solve_optimization. The description does not provide context for selection or exclusion criteria.

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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