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bigl34

inFlow Inventory MCP Server

by bigl34

list_serial_numbers

Fetch serial numbers from fulfilled sales orders to build a serial inventory. Filter by product ID or set max orders to limit results.

Instructions

List all serial numbers (serial numbers) from fulfilled sales orders. Useful for building a serial number inventory. WARNING: This fetches all orders and may be slow.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
maxOrdersNoMaximum number of orders to fetch (default: 200, max: 1000)
productIdNoFilter by product ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.4.0-alpha.2

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose one important trait: the call fetches all orders and may be slow. It says nothing about permissions, pagination behavior, or result ordering, so the behavioral picture remains partial.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences with the operation stated first and the performance warning last, so it is front-loaded and easy to scan. The parenthetical "(serial numbers)" merely repeats the noun and is dead weight.

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?

For a simple two-optional-parameter list tool with no output schema and no annotations, the description covers the operation and a performance caveat. It omits the relationship between the 'fetches all orders' warning and the maxOrders cap, and gives no sense of the returned shape or ordering.

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?

Schema description coverage is 100%, so both parameters (maxOrders, productId) are already documented with defaults and bounds. The description adds no syntax, format, or interaction detail beyond the schema, so the baseline 3 applies.

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

Purpose4/5

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

States a specific verb (list) plus resource (serial numbers) and narrows the source to fulfilled sales orders, which implicitly separates it from siblings like list_all_serials or get_product_serials. It never names an alternative explicitly, so the differentiation is inferable rather than stated.

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?

"Useful for building a serial number inventory" gives a use case but no when-to-use versus alternatives such as list_all_serials, get_sales_order_serials, or search_serial_number. Usage is implied rather than directed.

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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