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finance_chat

Submit a chat message to a finance domain agent to analyze company data and complete tasks.

Instructions

Run the finance domain agent action chat.

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 convey behavioral traits. It reveals routing through a domain-agent dispatcher under authentication and scope, but does not disclose whether the tool is read-only or has side effects, nor what the response structure is. The behavior of the domain chat action is vague.

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

Conciseness4/5

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

The description is efficient, consisting of a clear one-line purpose, followed by a brief implementation note, and a clean parameter list. There is no redundant information, making it easy for the AI agent to parse quickly.

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

Completeness3/5

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

The description covers the basic purpose and parameter semantics, but lacks behavioral transparency and usage guidelines. Given the tool's simplicity (2 optional string params) and the presence of an output schema (not described), the description is adequate but not comprehensive for an agent to fully understand when and how to use it.

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 description coverage, the description adds value by clarifying that 'message' is a free-text objective and 'inputs' is an optional JSON string. This goes beyond the schema's minimal string types, but the semantics of each parameter are still partially ambiguous (e.g., what constitutes a valid objective?).

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 runs the finance domain agent action `chat`, with a verb and resource. The name 'finance_chat' further distinguishes it from other domain-specific chat tools (e.g., commerce_chat, content_chat) found in the sibling list.

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 indicates the tool is for free-text finance objectives and accepts structured inputs, but does not provide guidance on when to use this tool versus the many other finance_* tools (e.g., finance_aging, finance_forecasting) or when not to use it. No alternatives or exclusions are mentioned.

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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