budget_forecast

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

The readOnlyHint annotation is true, and the description does not contradict it—'generate' implies computation rather than mutation. The description adds valuable behavioral context by stating the requirement for DINGDAWG_API_KEY and that projections are LLM-powered, which goes beyond the annotation's read-only hint.

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?

A single, compact sentence that delivers the core purpose and a critical requirement (API key) without fluff. It is front-loaded with the action and object, making it instantly scannable.

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?

For a forecast tool with 4 parameters (2 required) and no output schema, the description covers the essence: purpose, scenario analysis, and the external dependency. It does not describe the output format or error scenarios, but given the schema handles parameters and the read-only annotation covers side effects, the information is largely sufficient for an agent to invoke it correctly.

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?

Schema description coverage is 100%, so each parameter already has a description (e.g., 'Historical revenue data (CSV or description)'). The tool description adds little about how parameters relate to scenario analysis (e.g., assumptions), but it does tie the whole tool to AI-powered projections. At this coverage level, a baseline of 3 is appropriate; the description doesn't enhance parameter understanding beyond the schema.

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 states a specific action (generate) and resource (budget forecasts), and explicitly mentions scenario analysis, which clearly distinguishes it from siblings like financial_analysis or risk_assessment. The verb and object are unambiguous.

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. It does not mention scenarios like 'use when you need a forecast' or exclude cases like 'not for historical analysis.' The distinction from siblings is implicit but not explicit, leaving the agent to infer use cases.

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