Start monitoring another Amazon seller's storefront — new products they list will appear in the user's store results. storefront_id is the Amazon seller ID (e.g. A1B2C3D4E5F6G7, found in the seller page URL). Call when the user says 'track this seller'.
| Name | Required | Description | Default |
|---|---|---|---|
| storefront_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It describes the outcome (new products appear) and the parameter format, but does not disclose side effects (e.g., if already monitoring, rate limits, reversibility). With no annotations, more behavioral detail would be beneficial.
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 sentences with no waste. The first sentence states the purpose and effect, the second explains the parameter and gives usage guidance. Every word earns its place.
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 simple, single-parameter monitoring tool with no output schema, the description covers all essential aspects: what it does, what the parameter means, and when to invoke it. No gaps are evident.
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 input schema has only one parameter with a generic title. The description adds valuable semantics: it explains what storefront_id is (Amazon seller ID), provides an example format, and tells where to find it ('in the seller page URL'). This goes well beyond the schema.
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 clearly states the action ('Start monitoring') and the resource ('another Amazon seller's storefront'), with a specific outcome ('new products will appear in store results'). It effectively distinguishes from sibling tools like get_storefront_monitors which lists existing monitors.
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?
Provides an explicit trigger phrase ('Call when the user says 'track this seller''), giving clear context for use. Does not mention alternatives or when not to use, but the guidance is helpful and specific enough.
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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Each tool targets a distinct data type or action (e.g., product analysis, deal types, FBA operations). Even similar-sounding tools like get_deal_results and get_oa_deals are clearly separated by domain (A2A vs OA) in descriptions. No significant overlap.
All tools follow a clear verb_noun pattern with underscores (e.g., analyse_product, create_deal_task, get_credits). The consistent 'get_' prefix for retrieval tools and varied but predictable action verbs make the set easy to navigate.
At 37 tools, the set is large but covers a broad Amazon seller ecosystem (research, sourcing, FBA, deals, monitoring). Each tool serves a distinct purpose, and the count reflects the domain's complexity without being bloated.
The tool surface covers all major seller workflows: product analysis, profit calculation, sourcing, deal discovery, storefront monitoring, FBA operations, purchase tracking, price alerts, and reconciliation. No obvious gaps for core tasks.
