expense_forecast

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 states the tool forecasts expenses based on historical data, but doesn't reveal critical traits like whether it's a read-only analysis, requires specific data inputs, has rate limits, or what the output format might be. For a forecasting tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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

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

The description is a single, efficient sentence with no wasted words. It's front-loaded with the core action ('Forecast future expenses') and adds necessary context ('based on historical data'). Every part earns its place, making it highly concise and well-structured.

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

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

Given the tool's complexity (forecasting), lack of annotations, no output schema, and low schema description coverage (0%), the description is incomplete. It doesn't explain return values, data requirements, or behavioral aspects like accuracy or limitations. For a tool that likely involves data processing and prediction, more context is needed to be fully helpful.

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

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

The input schema has 1 parameter with 0% description coverage, but the description adds meaningful context by implying the forecast is based on historical data. However, it doesn't specify details like the parameter 'monthsAhead' or data sources. Since there's only 1 parameter, the baseline is high, but the description compensates somewhat by clarifying the forecasting basis.

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

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

The description 'Forecast future expenses based on historical data' clearly states the tool's purpose with a specific verb ('forecast') and resource ('expenses'), but it doesn't differentiate from sibling tools like 'expense_budget_vs_actual' or 'expense_spending_trends' that might also involve expense forecasting or analysis. The purpose is understandable but lacks sibling distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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 in analytics and expense categories (e.g., 'analytics_13_week_forecast', 'expense_spending_trends'), there's no indication of context, prerequisites, or exclusions. It implies usage for forecasting but offers no comparative advice.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.