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list_marketplaces

Read-only

List the CREATED marketplace integrations of a project — the marketplace integrations that already exist, not the catalog of channels you can add (use list_marketplace_channels for that). Each item is {integrationId, projectId, name, channelCode, kind, definitionCode, status, ready, lastStep, isReady, isConnected, isOverlimit, productMode, orderMode, orderSync}. The response wrapper is {integrations, returned, total}. project_id is OPTIONAL: with it you get that project's marketplaces; WITHOUT it you get marketplaces across ALL your projects (each item carries its projectId). If a call returns project_id_required, pick a project (see list_projects) and pass its project_id. integrationId is what you pass as marketplace_id to get_marketplace / marketplace_status and the other marketplace tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNo

TDQS

A5/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so no safety contradiction exists. The description adds substantial behavioral context: it clarifies these are created/existing integrations, explains the optional project_id behavior, lists the exact response fields and wrapper, and tells the agent that integrationId maps to marketplace_id in other tools. This goes well beyond what annotations provide.

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

Conciseness5/5

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

The description is dense but every sentence earns its place. The core distinction from list_marketplace_channels is front-loaded, and the subsequent sentences cover return shape, parameter behavior, error handling, and cross-tool ID mapping. Given that there is no output schema, the field enumeration is justified rather than filler.

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?

For a simple read-only list tool with one optional parameter and no output schema, the description is complete. It covers the purpose, the sibling distinction, parameter semantics, error behavior, response structure, and how results relate to other tools. Nothing an agent needs to call it correctly is missing.

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

Parameters5/5

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

Schema description coverage is 0%, so the description carries the full explanatory burden for the single parameter. It thoroughly defines project_id semantics: optional, what happens when provided vs omitted, and how to recover from the project_id_required error. This adds meaning far beyond the bare integer type 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?

The description states a specific verb and resource: list the already-created marketplace integrations of a project. It explicitly distinguishes itself from list_marketplace_channels, which is the catalog of channels that can be added, so there is no ambiguity about scope. The phrasing is specific and not a tautology.

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?

The description gives explicit usage guidance: pass project_id to get a specific project's marketplaces, omit it to get all projects' marketplaces. It also names the alternative tool (list_marketplace_channels) and tells the agent when to use that instead. It even handles an error condition (project_id_required) with a concrete remedy.

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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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