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quickbooks_update_entity

Update a QuickBooks entity by passing a JSON string of arguments through the Lightbulb Partners platform.

Instructions

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

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
Behavior2/5

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

No annotations are provided. The description only mentions routing and auth scope but fails to disclose side effects, required permissions, idempotency, error behavior, or what happens on successful update.

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 and uses clear bullet-style for args, but it sacrifices essential detail for brevity. It is structured but not sufficiently informative.

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?

With no annotations, sparse schema, and no output schema details, the description is grossly incomplete. An AI agent cannot determine valid entity types, required fields, or expected outcomes, making the tool effectively unusable without external knowledge.

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

Parameters2/5

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

The single parameter 'arguments' is described as a JSON string of arguments, but no details on expected keys, valid values, or structure. Schema coverage is 0%, and the description adds minimal clarity beyond the schema's type definition.

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 only restates the tool name and mentions it's a connector operation, but does not specify what entity is being updated (customer, invoice, etc.). It adds no specific action-resource context beyond the name itself.

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 on when to use update_entity versus create_entity or get_entity. No context about prerequisite steps or entity types, leaving the agent without decision support.

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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