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bigl34

inFlow Inventory MCP Server

by bigl34

list_stock_adjustments

Filter and list stock adjustments by status, date, location, or reason to monitor inventory changes.

Instructions

Search and list stock adjustments with optional filtering

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skipNo
sortNoProperty to sort by (e.g., adjustmentDate, adjustmentNumber)
countNo
statusNoFilter by status
includeNoRelated data to include
reasonIdNoFilter by adjustment reason ID
sortDescNoSort in descending order
locationIdNoFilter by location ID
includeCountNoInclude total record count in response
adjustmentDateToNoFilter by date (to)
adjustmentNumberNoFilter by adjustment number
adjustmentDateFromNoFilter by date (from)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.4.0-alpha.2

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. "List/search" implies a read operation, but it discloses nothing about pagination behavior (skip/count hint at paging), result limits, ordering defaults, or auth requirements. For a 12-parameter query tool this is a notable gap.

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?

A single efficient sentence with the core purpose front-loaded and no wasted words. It is appropriately sized, though it is perhaps too terse to be maximally useful.

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 list tool with 12 params, 83% schema coverage, and no output schema, the description is minimally adequate. It omits return shape/pagination expectations that an agent would benefit from, but the rich schema compensates for most parameter-level gaps.

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 83% (high), so the schema already documents nearly all parameters including enums and filters. The description adds nothing beyond "optional filtering," 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 (search/list) and resource (stock adjustments), clearly distinguishing it from get_stock_adjustment and upsert_stock_adjustment by the plural/list framing. However, it doesn't explicitly name or differentiate from siblings in the text itself.

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?

"with optional filtering" implies it's a query tool but gives no when-to-use guidance, no exclusions, and no pointer to alternatives like get_stock_adjustment for a single record. An agent must infer usage entirely.

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

Deploy Server

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