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Hustle Got Real

Post Channellisting Optimizeimage

hgr_post_channellisting_optimizeimage
Destructive

Dedicated HGRApi tool for POST api/ChannelListing/OptimizeImage. This is an explicit tool with a fixed endpoint; it is not a generic endpoint caller. HGRApi functional documentation: Purpose: Provides the POST optimize image operation in published product creation and optimization. Use when: Use it when a client needs to run the optimize image operation for published product creation and optimization. Input: rq: OptimizeImageRequest. Main fields: ImageUrl: string, Action: AIActionType, Settings: Setting[]. Header channel: current ChannelOAuthId. Output: Returns the result or applies the effect of the optimize image operation. Search terms: channellisting optimizeimage. Send the exact request payload in body. Requires confirmed=true before execution. Requires HGRApi Header channel / ChannelOAuthId resolved internally.

Input Schema

NameRequiredDescriptionDefault
bodyYesHGRApi POST /api/ChannelListing/OptimizeImage 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.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
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 risk profile is known. The description usefully adds the confirmed=true gate and the channel/ChannelOAuthId header requirement, but never says what is destroyed or overwritten (the live listing image?), whether it costs tokens, or whether it can be undone — the key context for a destructive call.

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?

Padded with templated boilerplate — 'This is an explicit tool with a fixed endpoint; it is not a generic endpoint caller' — plus a redundant 'Search terms' line and repeated 'published product creation and optimization' phrasing. The useful content (body fields, confirmed gate, channel header) is buried mid-paragraph.

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. However, for a destructive, non-idempotent tool the definition leaves out the essentials an agent needs to act safely: what the operation changes on the live listing, whether the original image is recoverable, and any rate/cost implications.

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% for the three top-level params, but the body schema has no documented properties, and the description compensates by naming the request fields: ImageUrl: string, Action: AIActionType, Settings: Setting[]. That is genuine added meaning beyond the structured fields.

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?

It states the verb and resource (POST api/ChannelListing/OptimizeImage, 'optimize image operation in published product creation'), so the general intent is inferable. But 'optimize image' is never explained — what the optimization actually does to the listing image — and it is not distinguished from close siblings such as hgr_post_channellisting_optimizespecificfields or hgr_post_searchproduct_optimize.

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 guidance is circular: 'Use it when: Use it when a client needs to run the optimize image operation.' No alternatives, no prerequisites beyond a generic 'confirmed=true', and no signal for choosing this over the two adjacent optimize tools in the sibling list.

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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