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Post Listing Getbulkhistory

hgr_post_listing_getbulkhistory
Read-onlyIdempotent

Dedicated HGRApi tool for POST api/Listing/GetBulkHistory. This is an explicit tool with a fixed endpoint; it is not a generic endpoint caller. HGRApi functional documentation: Purpose: Returns recent bulk publication jobs and their recorded status/errors for the selected store. ownerAgent: publication. Use when: Use it to inspect bulk publication history and diagnose a job's recorded error. Input: Optional AutoListRequest. Header channel: current ChannelOAuthId. Output: Returns logs with job status, error code, listing status and origin. EnumValues maps the numeric codes. ChannelListingStatusFlags is a bitmask: decode every set bit, not the whole number as one ordinal. Search terms: listing getbulkhistory. Send the exact request payload in body. Requires HGRApi Header channel / ChannelOAuthId resolved internally.

Input Schema

NameRequiredDescriptionDefault
bodyYesHGRApi POST /api/Listing/GetBulkHistory request body.
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

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so the safety profile is covered. The description adds genuinely non-obvious behavior: the header channel/ChannelOAuthId is resolved internally, and ChannelListingStatusFlags must be decoded bitwise per set bit rather than as one ordinal. That is real decoding guidance beyond the structured fields.

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?

Most of it is front-loaded and useful, but the boilerplate framing ('Dedicated HGRApi tool for POST...', 'This is an explicit tool with a fixed endpoint; it is not a generic endpoint caller') and repeated mention of the channel header cost words without adding information.

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 an output schema present, the description needn't explain return values, and it still summarizes the output shape and the EnumValues/bitmask mapping. Combined with 100% parameter coverage, an agent has what it needs to call this correctly.

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 100% and the schema already documents both parameters, so the baseline is 3. The description adds value by identifying the body as an 'Optional AutoListRequest' and by tying channelOAuthId to hgr_list_channels, clarifying the parameter's provenance.

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 names the resource and the operation concretely: 'Returns recent bulk publication jobs and their recorded status/errors for the selected store.' That distinguishes it from sibling publication tools such as hgr_post_listing_autolist or hgr_post_listing_savebulkpublish, though it never explicitly names an alternative.

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?

The 'Use when' clause gives a clear trigger: inspect bulk publication history and diagnose a job's recorded error. It does not name an alternative tool or state when not to use it, so it stops short of a 5.

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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