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Get Product Content Recommendations

get_chunk_recommendations
Read-only

Generates recommendations to improve product content based on provided attributes. Use to enhance product descriptions.

Instructions

Get product content recommendations (chunk recommendations) for a given EAN. Provides suggestions for improving product content.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
attributesYesProduct attributes to get chunk recommendations for.
Behavior2/5

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

Annotations already indicate readOnly and openWorld hints. Description adds no behavioral context beyond a vague 'suggestions for improving product content'. No disclosure of output format, pagination, or potential changes.

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?

Two sentences, but the first sentence nearly repeats the title. While short, it could be more information-dense and front-loaded.

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

Completeness2/5

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

No output schema exists, but the description fails to explain what a 'chunk recommendation' is or what format the suggestions take. With a misleading mention of EAN, the description is incomplete for an agent to use correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Description coverage of schema is 100% but the description introduces 'EAN' which is not in the schema, potentially misleading the agent. It does not add useful meaning beyond the schema's own description.

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 clearly states it provides product content recommendations, but inaccurately mentions 'for a given EAN' while the schema requires 'attributes'. This undermines clarity for an agent comparing with schema.

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?

No guidance on when to use this tool versus alternatives among many sibling get_ tools. No conditions, prerequisites, or exclusions provided.

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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