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Post Channellisting Getsuggestedtitles

hgr_post_channellisting_getsuggestedtitles
Read-onlyIdempotent

Dedicated HGRApi tool for POST api/ChannelListing/GetSuggestedTitles. This is an explicit tool with a fixed endpoint; it is not a generic endpoint caller. HGRApi functional documentation: Purpose: Provides the POST get suggested titles operation in published product creation and optimization. Use when: Use it when a client needs to run the get suggested titles operation for published product creation and optimization. Input: [FromBody] request: SuggestedTitles. Main fields: CategoryId: int, Product: SourceProduct. Output: Returns the result or applies the effect of the get suggested titles operation. Search terms: channellisting getsuggestedtitles. Send the exact request payload in body. Requires HGRApi Header channel / ChannelOAuthId resolved internally.

Input Schema

NameRequiredDescriptionDefault
bodyYesHGRApi POST /api/ChannelListing/GetSuggestedTitles 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

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true. The description adds real context beyond that: the required HGRApi channel/ChannelOAuthId header resolved internally and the instruction to send the exact payload in body. It does not clarify what 'suggested titles' are derived from or any rate/limit behavior, so it goes only modestly past the annotation baseline.

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?

Front-loaded with the endpoint, which is good, but it carries visible boilerplate: 'This is an explicit tool with a fixed endpoint; it is not a generic endpoint caller', a 'Search terms:' tail, and a Purpose sentence that repeats the name. Labeled sections aid scanning, but several sentences do not earn their place.

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, both parameters are documented, and the auth/header requirement plus body instruction are covered, so an agent has what it needs to invoke correctly. Minor gap: no detail on the nested SourceProduct shape or how titles are scoped to a channel beyond channelOAuthId.

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 channelOAuthId is already explained in the schema, so the baseline is 3. The description goes further by naming the body's main fields (CategoryId: int, Product: SourceProduct), which the opaque 'body' schema property does not expose — genuine added value for constructing the payload.

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?

States the concrete operation (POST api/ChannelListing/GetSuggestedTitles) and frames it within published product creation/optimization, so it is distinguishable from near siblings like getsuggestedcategories or getcategoriesbytext. The phrasing is template-generated, but the verb+resource pairing is specific enough for an agent to act on.

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

Usage Guidelines3/5

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

The 'Use when' clause only restates the purpose ('when a client needs to run the get suggested titles operation'), which is circular rather than actionable. It gives no when-not conditions and never names the obvious alternatives (GetSuggestedCategories / GetCategorySpecifics / GetCategoriesByText) that share this decision space.

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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