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Get Catalog Newgetlistingstatus

hgr_get_catalog_newgetlistingstatus
Read-onlyIdempotent

Dedicated HGRApi tool for GET api/Catalog/NewGetListingStatus. This is an explicit tool with a fixed endpoint; it is not a generic endpoint caller. HGRApi functional documentation: Purpose: Returns recent catalog publication jobs and their listing results. ownerAgent: publication. Use when: Use to inspect recorded publication status or errors, not to discover supplier products. Input: Header channel identifies the selected store. No body. Output: Returns job status and listing status/error data with EnumValues. Url identifies new publications even before ProductSourceId resolution; ProductSourceId remains available for legacy clients. ListingStatus.Status is a bitmask and can combine flags. Search terms: catalog newgetlistingstatus. Requires HGRApi Header channel / ChannelOAuthId resolved internally.

Input Schema

NameRequiredDescriptionDefault
channelOAuthIdYesChannelOAuthId returned by hgr_list_channels for the selected visible store.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), yet the description still adds substantive context: the header channel identifies the selected store, no request body is sent, ListingStatus.Status is a bitmask that can combine flags, and Url identifies new publications before ProductSourceId resolution. These are real consumption-relevant details an agent would not get from the annotations.

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

Conciseness3/5

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

The labeled Purpose/Use when/Input/Output structure is front-loaded and scannable, but the opening two sentences ('Dedicated HGRApi tool for GET ... it is not a generic endpoint caller') and the trailing 'Search terms:' line are meta-boilerplate that earns no place in the description. Useful content is interleaved with filler.

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?

An output schema exists, so return-value documentation is not strictly required, and the description nonetheless sketches the shape (job status with EnumValues, listing status/error, bitmask semantics). With a single fully documented parameter and clear read-only semantics, an agent has everything needed to call it correctly.

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?

There is only one parameter and schema coverage is already 100%, with the schema itself explaining that channelOAuthId comes from hgr_list_channels. The description restates that the header channel identifies the selected store, which is mild reinforcement. The note that ChannelOAuthId is 'resolved internally' slightly muddies the fact that it must be supplied, so this is baseline rather than value-added.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific outcome: it returns recent catalog publication jobs and their listing results, and explicitly excludes product discovery. That distinguishes it from product-oriented siblings such as hgr_post_catalog_getproducts. The opening is slightly diluted by generic boilerplate about being a 'dedicated HGRApi tool' for a fixed endpoint, but the Purpose line carries the meaning.

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?

It gives an explicit 'Use when' clause (inspect recorded publication status or errors) and an explicit exclusion (not to discover supplier products). The alternative is characterized by task rather than named as a specific sibling, so an agent must map the task description itself, but the guidance is clear and actionable.

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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