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inventory_reorder_suggestions

Read-only

Avoid stockouts by generating prioritized reorder suggestions from low-stock items and sales velocity, so you restock high-demand products first.

Instructions

AI: prioritized reorder list — low-stock items crossed with sales velocity.

Read-only suggestion. Needs a sampling-capable client (graceful fallback otherwise). Requires INVENTORY_R and ORDERS_R.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
date_toNo
date_fromNo
thresholdNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the description adds value by disclosing additional behavioral traits: it needs a sampling-capable client with a graceful fallback, and it requires specific permissions (INVENTORY_R and ORDERS_R). It also notes the 'AI' nature, implying non-deterministic output. These go beyond what annotations alone provide.

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 extremely concise—three short lines—each conveying distinct information: the core purpose, read-only nature, client requirement, and permissions. No filler or redundancy; every sentence earns its place.

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 description covers the core purpose, key requirements, and a behavioral quirk, and the presence of an output schema addresses return values. However, it lacks parameter semantics and explicit usage guidance, which is a notable gap for a tool with optional parameters and no schema descriptions. It is adequate for selection but not fully complete for invocation.

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

Parameters1/5

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

The input schema has three parameters (date_to, date_from, threshold) with zero description coverage, and the description does not explain any of them. It mentions 'low-stock items crossed with sales velocity' but does not relate this to the threshold or date range parameters, leaving the agent without sufficient information to set them correctly.

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 the tool produces a 'prioritized reorder list' combining low-stock items with sales velocity, which is specific and distinguishes it from siblings like list_low_stock_items. The 'Read-only suggestion' wording reinforces its function as an advisory tool rather than a direct action.

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage context (reorder suggestions) and provides important constraints such as 'Needs a sampling-capable client' and 'Requires INVENTORY_R and ORDERS_R', but it does not explicitly state when to use this tool versus alternatives or when to avoid it. No exclusions or alternative tools are mentioned.

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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