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finance_payroll

Submit payroll objectives to the finance agent for processing using natural language and optional structured data.

Instructions

Run the finance domain agent action finance_payroll.

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?

With no annotations, the description carries full burden. It only states routing through a dispatcher under JWT/tenant/company scope, but does not disclose whether the action is read-only or mutating, nor any side effects or constraints.

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 but contains a tautological first sentence. It could be more concise while adding substantive content. Structure is acceptable.

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 name suggests a payroll action and there are many sibling tools, the description should clarify scope (e.g., create/update payroll). The output schema exists but is not described, leaving the agent without expectations for return values.

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?

The description adds basic meaning to parameters ('free-text objective', 'optional JSON string'), which is more than the schema's bare defaults. However, schema description coverage is 0%, so the description should provide richer detail (e.g., expected format of inputs, examples). It does not fully compensate.

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

Purpose2/5

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

The description merely restates the tool name ('Run the finance domain agent action finance_payroll') without explaining what payroll action is performed. It adds routing context but fails to specify the verb-resource relationship or distinguish from sibling tools like finance_chat or quickbooks_payroll_payslips.

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

Usage Guidelines1/5

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

No guidance is provided on when to use this tool versus alternatives. The description does not mention prerequisites, exclusions, or recommend scenarios.

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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