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finance_board_pack

Execute a finance board pack action by providing a free-text objective and optional structured inputs to organize financial data.

Instructions

Run the finance domain agent action finance_board_pack.

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, and the description only mentions routing through a dispatcher under JWT/tenant/company scope. It fails to disclose behavioral traits like side effects, permissions required, or output behavior, which is critical for a mutation-like tool.

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 concise with two sentences and an args section, front-loading the purpose. Every sentence adds some value, though the args section could be integrated more naturally.

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 what the tool returns or how to interpret results. Parameters are underspecified, and no behavioral context compensates for the lack of annotations, leaving the agent underinformed for a domain agent action.

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 schema has 0% description coverage, but the description adds minimal meaning: 'message' as free-text objective and 'inputs' as optional JSON. This adds value over the bare schema, but is still vague and does not specify input constraints or examples.

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 the tool runs a finance domain agent action named 'finance_board_pack', which clearly identifies the verb and resource. However, it lacks specificity about what the action does compared to sibling tools like 'finance_board_dashboard_page' or 'finance_board_meeting_packet_generation', preventing full differentiation.

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 versus alternatives. It simply instructs to run the action without mentioning prerequisites, context, or when-not-to-use scenarios, leaving the agent without decision-making 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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