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quickbooks_pay_bill

Pay bills in QuickBooks directly from your workflow using the Lightbulb MCP connector for automated accounting operations.

Instructions

Quickbooks connector operation pay_bill (platform tool quickbooks.pay_bill).

Routes through /api/tools/invoke under your JWT, tenant, and company scope.

Args: arguments: JSON string of arguments for the connector operation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argumentsNo{}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior1/5

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

With no annotations provided, the description bears full responsibility for behavioral disclosure. It only mentions technical routing (JWT, tenant, company scope) and fails to indicate whether the operation is destructive, idempotent, what permissions are needed, or what the outcome is. This omission is critical for a payment action.

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

Conciseness2/5

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

The description is extremely short but under-specified. It front-loads a tautology and routing info, but the lack of substantive detail makes it ineffective. Conciseness should not come at the cost of completeness.

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

Completeness1/5

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

Given the complexity of paying a bill in QuickBooks, the description is entirely inadequate. There is no explanation of effects, error states, required permissions, or output schema content. An AI agent would lack the information to use this tool correctly.

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?

The single parameter 'arguments' is described only as 'JSON string of arguments for the connector operation,' which merely echoes the schema. With 0% schema description coverage, the description must compensate by explaining the expected structure, but it adds no useful semantics.

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 tool is for paying a bill in QuickBooks, as indicated by 'pay_bill' verb and resource. However, it does not distinguish this tool from similar sibling tools like 'xero_pay_bill' or even other QuickBooks billing tools, which prevents a score of 5.

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 is provided on when to use this tool over alternatives. There is no mention of prerequisites, context, or exclusions, leaving the agent without direction on selection among many related tools.

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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