Skip to main content
Glama

list_ad_items

Read-only

List the individual listing items of one ADS integration — the per-product rows for listing-based ad channels (e.g. Marktplaats and other classifieds, which create one ad per product). Some ad channels (e.g. Google Shopping) submit the whole product set in bulk rather than as individual listings and so have no per-item rows — they return an empty list; use ad_status / get_ad_report for those. Returns {integrationId, total, returned, items:[{itemId, koongoProductId, parentId, productType, status, channelStatus, listingId, listingUrl, hasErrors, errorCount}]}. Filter with koongo_status, channel_status, listing_id or product_id to find failures; page with limit / offset. Rows carry only identifiers + statuses (no gate); an item's actual attribute value + full error report come from get_ad_item_report. itemId is what you pass to get_ad_item_report / get_ad_item_history. ad_id is the integrationId from list_ads. project_id is OPTIONAL (inferred for a single-project customer; project_id_required otherwise — then call list_projects).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ad_idYesintegrationId of the ad (from list_ads).
limitNoMax items to return (page size).
offsetNoNumber of items to skip (paging).
listing_idNoFilter by the item's listing id on the channel.
product_idNoFilter to one Koongo product id.
project_idNo
koongo_statusNoFilter by the Koongo-side listing status.
channel_statusNoFilter by the channel's own listing status.

TDQS

A4.8/5.0
Behavior5/5

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

Annotations only say readOnlyHint=true, openWorldHint=false, destructiveHint=false; the description adds essential behavior beyond that: some channels return an empty list, rows contain only identifiers and statuses (no gate), itemId is what subsequent report tools expect, and ad_id is the integrationId from list_ads. This is rich, accurate context.

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?

The description is long, but it is dense and front-loaded with the core purpose, then the empty-list caveat, return shape, filtering/paging, and related tools. Every sentence carries useful information; the only minor issue is that it reads as a solid block without clear paragraph or bullet separation.

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

Completeness5/5

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

With no output schema, the description compensates by explicitly listing the return shape, explaining the empty-list case, covering filtering and pagination, clarifying what data rows do and do not contain, and pointing to related tools for deeper item data. For an 8-parameter list tool in a sibling-heavy context, this is complete.

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 already strong at 88%, with descriptions on most parameters. The description adds value by grouping filter parameters by purpose, explaining the relationship between ad_id and list_ads, and clarifying that project_id is optional for single-project customers but required otherwise — information the schema does not convey.

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 and resource: 'List the individual listing items of one ADS integration — the per-product rows'. It clearly distinguishes this tool from bulk channels and related tools like get_ad_report, and explains what kind of channel produces these rows.

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 when not to use it (Google Shopping style bulk channels) and names the alternatives (ad_status / get_ad_report). It also gives practical usage guidance: filter with koongo_status, channel_status, listing_id or product_id to find failures, page with limit/offset, and use get_ad_item_report for full error reports.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.2/5.0
Disambiguation4/5

Tools are organized around distinct resources (ads, marketplaces, feeds, orders, rules, sources) with clear action verbs, and descriptions explicitly disambiguate near-pairs like get_feed_status vs ad_status or set_feed_filter vs set_feed_attribute_filter. A few similarly named status/action pairs (e.g. ad_status vs get_ad, run_ad_item_action vs run_ad_operation) require careful reading, but overall the purposes are separable.

Naming Consistency4/5

The overwhelming majority follow a consistent verb_noun snake_case pattern (list_*, get_*, create_*, set_*, run_*, test_*). Minor deviations like ad_status and marketplace_status (noun-based status tools) and koongo_knowledge break the pattern slightly, but the convention is clearly recognizable and predictable.

Tool Count1/5

At 105 tools, the surface is extreme and far beyond the 50+ threshold, even for a complex e-commerce integration domain. Much of the bloat comes from systematic triplication across ads, marketplaces, and feeds (e.g. three nearly identical map_*_attribute tools, three list_*_items, three get_*_report) that a generic resource parameter could have consolidated.

Completeness4/5

The toolset covers the full lifecycle of feeds, ads, marketplaces, order connections, rules, and imports, including create/read/update/delete, status monitoring, item-level actions, validation, repair, and restore. Minor gaps exist, such as no delete for standalone order connections and limited update capabilities for some entities, but these are workable and do not create dead ends for the core workflows.

Resources