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ForthClear Liquidation Marketplace

Bulk update listing prices or MOQ

bulk_update_listings
Destructive

Bulk update prices or minimum order quantities across up to 200 of the calling seller's product listings. Thin adapter over POST /api/products/bulk-update-price and /bulk-update-moq — same seller-ownership filter and per-product validation. Choose mode='price_set' (value=USD), 'price_percent_increase' / 'price_percent_decrease' (value=percent), or 'moq_set' (value=integer units).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeYesWhat to change and how: price_set writes an absolute USD price, price_percent_increase / price_percent_decrease adjust the current price by a percentage, moq_set writes a minimum order quantity.
valueYesUSD price for price_set, percent (0-1000) for percent modes, integer units (1-999999) for moq_set.
product_idsYesForthClear product ids to update (max 200/request).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / mode / description
      Added value: +"What to change and how: price_set writes an absolute USD price, price_percent_increase / price_percent_decrease adjust the current price by a percentage, moq_set writes a minimum order quantity."
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

Adds real context beyond annotations: the 200-item cap, seller-ownership filtering, per-product validation, and the underlying endpoint mapping. Annotations already flag destructiveHint=true and idempotentHint=false; the description does not restate that, but also does not explain what happens to a partial batch when some products fail validation.

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 sentences, zero padding, with the ownership and volume constraint front-loaded before the mode enumeration. The final mode sentence overlaps with the schema enum descriptions but remains useful for scanning.

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 destructive bulk mutation with no output schema and no annotation coverage of return semantics, the definition never states what the response looks like or how partial failures are reported. Annotations cover the safety profile, but the result behavior is left entirely implicit.

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 coverage is 100%, so the schema already documents all three parameters including enums and ranges. The description's mode/value mapping largely repeats the schema's own descriptions, adding little beyond the baseline.

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?

States a specific verb (bulk update), resource (prices or MOQ), and scope (up to 200 of the calling seller's own listings). This clearly separates it from create_listing and search_inventory in the sibling set.

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

Usage Guidelines4/5

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

Explains that it is a thin adapter over two specific backend endpoints and gives explicit guidance on which mode to choose for which value type. It lacks any when-not-to-use guidance (e.g., single-listing edits vs. bulk, or how to handle failures).

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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