product_forecast
Run the simple product forecast helper over a historical metric series.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| metric | Yes | ||
| history | Yes | ||
| horizon | No | ||
| seasonality | No | ||
| confidence_level | No |
Run the simple product forecast helper over a historical metric series.
| Name | Required | Description | Default |
|---|---|---|---|
| metric | Yes | ||
| history | Yes | ||
| horizon | No | ||
| seasonality | No | ||
| confidence_level | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description must fully disclose behavior. It only states it 'runs' a forecast, but does not clarify if it is read-only, what side effects occur, or how errors are handled. Minimal transparency.
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 sentence, making it concise. However, its brevity sacrifices useful content; it could be expanded without losing conciseness.
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?
With 5 parameters, no output schema, and no annotations, the description is severely lacking. It fails to explain return values, typical usage, or constraints, making it inadequate for reliable agent invocation.
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 0% description coverage, and the description adds no meaning beyond the parameter names. The phrase 'historical metric series' hints at the 'history' parameter but offers no details on metric, horizon, seasonality, or confidence_level.
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 uses the verb 'Run' and identifies the resource as a 'simple product forecast helper' over a 'historical metric series'. It clearly indicates the tool's function, but does not differentiate it from sibling tools like product_decision or product_optimize.
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 versus alternatives. The description mentions 'simple' but without explicit conditions or exclusions, agents have no basis for decision.
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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