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finance_forecast_interpretation

Destructive

Interpret financial forecasts using natural-language objectives. Submit a message and optional structured inputs to get domain-agent analysis under your tenant scope.

Instructions

Run the finance domain agent action finance_forecast_interpretation.

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
inputsNo{}
messageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior3/5

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

The description adds context about auth scope ('under your JWT, tenant, and company scope'), which goes beyond the annotations. However, it does not mention any specific side effects beyond what the destructiveHint annotation already implies, and no details about what might be modified or destroyed.

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

Conciseness5/5

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

The description is short and to the point, with no redundant information. The two sentences and parameter summaries are efficient and well-structured.

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?

The description does not explain what the finance forecast interpretation action does, its expected inputs/outputs, or any side effects. Even though an output schema exists, its content is not described, leaving the agent with insufficient context to fully understand the tool's behavior.

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?

Schema coverage is 0%, but the description provides minimal explanations for both parameters ('Free-text objective' and 'Optional JSON string of structured inputs'). This adds some meaning but lacks detail about formats, constraints, or examples, so it only partially compensates for the missing schema.

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

Purpose3/5

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

The description states a clear verb 'Run' and a resource 'finance domain agent action', but it does not specify what the action actually does (e.g., interpreting financial forecasts) and does not distinguish it from similar dispatcher tools like 'dispatch_domain_agent' or 'invoke_tool'.

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. It only describes the routing mechanism without giving any contextual cues for selection.

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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