Trending products
split_trending_productsCurated trending products, each with a commission_percentage computed for this creator. Every item is ready to link as-is.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
split_trending_productsCurated trending products, each with a commission_percentage computed for this creator. Every item is ready to link as-is.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already establish that this is read-only, idempotent, and non-destructive. The description adds useful behavioral context beyond that: products are curated, commission percentages are creator-specific, and items require no further linking work.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences, both informative and non-redundant. The description front-loads the core purpose and immediately follows with the key creator-specific detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter, read-only list operation with no output schema, the description is largely sufficient: it states the resource, personalization, and readiness to link. It could be slightly clearer that the result is a list and what 'trending' means, but these are minor gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and the schema has 100% coverage, so there is no parameter semantics gap. The description helpfully indicates what the output contains, which is the relevant context for a parameterless call.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description identifies the resource as curated trending products and adds important specifics: each has a creator-specific commission_percentage and is ready to link. It avoids simply repeating the title, though it lacks an explicit verb like 'return' or 'list'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The intended use is implied: call this when you want curated trending products with precomputed commissions for this creator. However, it gives no explicit guidance about when to prefer this over similar siblings like browse_product_catalog or search_products.
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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