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Heytish-V

factory-supervisor-mcp

by Heytish-V

forecastInventory

Predict stockout dates, days remaining, risk level, and reorder quantities to prevent inventory shortages.

Instructions

Forecasts stockout date, days remaining, inventory risk level, and recommended reorder quantity for inventory parts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
partIdNoOptional part ID to filter forecast (e.g. PART-002)
Behavior2/5

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

With no annotations, the description must fully disclose behavioral traits. It lists the forecast outputs but does not mention whether the tool is read-only, requires specific inputs (like recent data), handles missing partId, or has any limitations. There is no statement about side effects or data prerequisites.

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, efficient sentence that immediately conveys the tool's purpose. No redundant or filler content is present.

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

Completeness3/5

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

The tool has only one optional parameter and no output schema, so the description must explain what the forecast returns. It lists the key outputs but omits context such as whether a single result or a list is returned, what happens with no partId, and how to interpret the risk level. It is adequate but not complete.

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

Parameters3/5

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

The schema already provides 100% coverage for the single optional parameter, describing it as a filter with an example. The tool description adds no extra parameter detail, but the schema is sufficient. Baseline of 3 is appropriate.

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

Purpose5/5

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

The description clearly states a specific verb ('Forecasts') and the exact resources/outputs (stockout date, days remaining, inventory risk level, recommended reorder quantity). This distinguishes it from siblings like getInventory or getLowStockItems, which presumably return current state rather than predictions.

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

Usage Guidelines2/5

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 (e.g., getInventory, getLowStockItems). The description does not mention scenarios where forecasting is appropriate or when other tools should be preferred, leaving the agent to infer usage.

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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