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bulk_update_listings

Destructive

Bulk listing attribute updates (title, bullet_point, any patch). updates: [{sku, title?, bullets?: string[], patches?: [...], product_type?, validate_only?}]. product_type is optional: each SKU's product type is read from its listing (results[].product_type_used). Use when you need to update titles or bullets on multiple SKUs at once instead of calling update_listing one by one. Returns {total, ok, errors, results[]}. SAFETY: show preview and require confirm before sending.

Input Schema

NameRequiredDescriptionDefault
updatesYes
account_idNoID dell'outpost Amazon (= un seller su uno specifico marketplace; vedi list_clients). Opzionale se il token è legato a un solo outpost.
confirm_idNoToken di conferma ritornato dall'anteprima. Ripassa lo STESSO payload + confirm_id per eseguire davvero la scrittura.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true, readOnlyHint=false, and openWorldHint=true, so the write risk profile is covered structurally. The description adds genuinely new context: the mandatory preview-then-confirm workflow ('SAFETY: show preview and require confirm before sending') and the optional product_type resolution behavior. Slightly short on what errors/results contain, but strong for an annotated mutation tool.

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?

Front-loaded with the core action and payload shape, followed by usage, return shape, and the safety constraint. Dense but every block earns its place; the inline style is slightly terse but not wasteful.

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

Completeness4/5

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

With no output schema, the description supplies the return shape ({total, ok, errors, results[]}) and the two-step confirm flow, which is exactly what an agent needs. Missing details on error semantics and the account_id fallback behavior, but otherwise complete for a destructive bulk tool.

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

Parameters4/5

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

Schema coverage is 67%, and the description compensates by describing the updates array shape (sku, title, bullets, patches, product_type, validate_only) and clarifying that product_type is optional because it is read per-SKU from the listing. This adds meaning beyond the raw schema, though account_id semantics remain only in the schema.

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+resource ('bulk listing attribute updates') and enumerates the touched attributes (title, bullet_point, patches). It also contrasts itself with the sibling single-SKU tool update_listing, so an agent can route correctly without opening the schema.

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

Usage Guidelines5/5

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

Explicitly says to use it 'when you need to update titles or bullets on multiple SKUs at once instead of calling update_listing one by one', naming the alternative and the condition that selects this tool. The preview/confirm requirement is also spelled out.

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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