Skip to main content
Glama

get_marketplace_channel

Read-only

Get, for ONE marketplace channel, the integration TYPES it supports and each type's capabilities. Returns {channelCode, label, kind, devOnly, multichannel, multichannelCode, definitions:[{definitionCode, type, typeLabel, label, versionType, primary, capabilities:{orderSync, categoryMapping, productFilter, attributeMapping}}]}. kind is always 'marketplace' here. versionType is 'primary' or 'secondary' and primary marks the default definition. capabilities tell you what a given definition supports (order sync, category mapping, product filtering, attribute mapping). Call this before create_marketplace to choose the right definition for the channel. channel_code is the channelCode from list_marketplace_channels. project_id is OPTIONAL (inferred for a single-project customer; project_id_required otherwise — then call list_projects and pass its project_id).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNo
channel_codeYeschannelCode of the marketplace channel (from list_marketplace_channels).

TDQS

A4.8/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false. The description adds meaningful behavioral context: kind is always 'marketplace', versionType marks primary/default definitions, and capabilities describe supported features. It does not contradict annotations, and the added detail goes beyond what annotations alone convey.

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 contributes: purpose, return shape, key invariants, usage timing, and parameter sourcing. The inline return JSON is justified because there is no output schema, and the information is ordered logically from outcome to invocation.

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?

Given there is no output schema, the description provides the full return structure and explains the key fields. It also covers the dependency on list_marketplace_channels and the project_id edge case, making the tool effectively callable without further research.

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 coverage is only 50%, with channel_code documented in the schema but project_id not. The description compensates fully by explaining project_id's optional/required behavior and its source, and it reinforces that channel_code is the channelCode from list_marketplace_channels. This gives the agent sufficient parameter-level understanding.

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 action and resource: getting, for ONE marketplace channel, the integration types and their capabilities. It clearly differentiates from list_marketplace_channels by emphasizing the singular channel focus and the capability details it returns.

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?

It explicitly says to call this before create_marketplace to choose the right definition, and clarifies that channel_code comes from list_marketplace_channels. It also explains when project_id is optional versus required, giving the agent concrete routing and prerequisite guidance.

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