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Post Channellisting Clearvariations

hgr_post_channellisting_clearvariations
Destructive

Dedicated HGRApi tool for POST api/ChannelListing/ClearVariations. This is an explicit tool with a fixed endpoint; it is not a generic endpoint caller. HGRApi functional documentation: Purpose: Provides the POST clear variations operation in published product creation and optimization. Use when: Use it when a client needs to run the clear variations operation for published product creation and optimization. Input: Header channel: current ChannelOAuthId. Output: Returns the result or applies the effect of the clear variations operation. Search terms: channellisting clearvariations. Send the exact request payload in body. Requires confirmed=true and impactConfirmed=true before execution. Requires HGRApi Header channel / ChannelOAuthId resolved internally.

Input Schema

NameRequiredDescriptionDefault
bodyYesHGRApi POST /api/ChannelListing/ClearVariations request body.
confirmedYesMust be true after the user explicitly requested or confirmed the exact action.
channelOAuthIdYesChannelOAuthId returned by hgr_list_channels for the selected visible store.
impactConfirmedYesMust be true after the user explicitly confirmed the concrete high-impact consequences.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true, idempotentHint=false, and openWorldHint=true, so the safety profile is covered. The description adds real value beyond that by disclosing the confirmed=true and impactConfirmed=true gating and that the channel ID is resolved internally. It does not, however, say what is actually destroyed or lost when variations are cleared.

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

Conciseness2/5

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

The endpoint is front-loaded, which is good, but the body is padded with template scaffolding ('This is an explicit tool with a fixed endpoint; it is not a generic endpoint caller', 'HGRApi functional documentation: Purpose:/Use when:/Input:/Output:/Search terms:'). The 'Search terms' line merely repeats the tool name and the Purpose/Use-when lines repeat each other.

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

Completeness3/5

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

An output schema exists, so return values need not be explained, and annotations carry the destructiveness signal. Still, for a destructive, non-idempotent four-required-parameter mutation, the description omits what a 'variation' is, what state the listing is left in, and any prerequisites beyond the two confirmation flags.

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?

Schema description coverage is 100%, so each parameter is already documented, which sets the baseline at 3. The description adds only the instruction to send the exact payload in body and notes the channel header is resolved internally — marginal value over the schema.

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

Purpose3/5

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

The description names a specific verb+resource (POST api/ChannelListing/ClearVariations) and ties it to 'published product creation and optimization', so the endpoint is identifiable. But 'clear variations' is never explained — what a variation is or what clearing does — and the closest sibling, hgr_post_channellisting_clearonevariation, is never mentioned, so an agent cannot tell the two apart from the description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The 'Use when' sentence is circular: 'Use it when a client needs to run the clear variations operation.' That restates the tool name rather than giving a triggering condition. No alternatives are named and no exclusions (e.g., single-variation clearing) are stated.

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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