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cash_flow_at_risk

Calculate Cash Flow at Risk (CFaR) to quantify potential cash flow volatility and financial exposure at specified confidence levels for risk assessment.

Instructions

Calculate Cash Flow at Risk (CFaR) metric

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confidenceLevelNo
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states the calculation action without details on data sources, computational methods, output format, or any behavioral traits like performance or limitations. This is inadequate for a tool that likely involves complex financial modeling.

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 a single, direct sentence with no wasted words, making it highly concise. It is front-loaded with the core action, though this brevity contributes to gaps in other dimensions.

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?

Given the complexity of financial risk metrics, no annotations, no output schema, and low schema coverage, the description is incomplete. It lacks details on inputs, outputs, behavior, and usage context, making it insufficient for effective tool invocation in a server with many analytical siblings.

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 input schema has one parameter 'confidenceLevel' with a default and range, but schema description coverage is 0%, meaning no descriptions in the schema. The tool description adds no parameter information, failing to explain what 'confidenceLevel' means in the context of CFaR or how it affects the calculation, leaving semantics unclear.

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 the tool calculates Cash Flow at Risk (CFaR), which is a specific financial metric, providing a clear verb ('calculate') and resource ('CFaR'). However, it does not differentiate from siblings like 'cash_flow_forecast' or 'analytics_monte_carlo_simulation', which might involve similar risk or cash flow analyses, leaving purpose somewhat vague in context.

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?

The description provides no guidance on when to use this tool versus alternatives. With many sibling tools related to analytics, cash flow, and risk (e.g., 'analytics_monte_carlo_simulation', 'cash_flow_forecast'), there is no indication of context, prerequisites, or exclusions, making it misleading 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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