get_forecast

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

The description discloses a concrete behavioral trait: the cost of $0.001 USDC via x402. However, with no annotations, it fails to state whether the tool is read-only, what side effects exist, or what the response contains, leaving significant transparency gaps.

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 one concise sentence with no filler. It immediately communicates the tool name, category, and cost, earning every word.

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 tool with a generic params object, no output schema, and no annotations, this description is far from complete. It omits the specific forecast type, required inputs, expected outputs, and any behavioral constraints, making it difficult to invoke 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?

The schema has a single generic 'params' object with 100% description coverage, so the baseline of 3 applies. The tool description adds no parameter semantics beyond the schema, offering no hints about required fields or format.

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 'Data & Weather tool', which clarifies it relates to weather forecasting but does not specify what kind of forecast or what data is involved. It is vague and does not distinguish it from siblings like get_weather or kronos_forecast.

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?

No guidance is provided on when to use this tool or alternatives. The description does not mention use cases, prerequisites, or comparisons with related tools, leaving the agent to infer applicability.

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