sellfox_product_analysis_v2

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

No annotations are provided, so the description must carry full burden for behavioral traits. It does not disclose read-only vs. destructive nature, authorization needs, rate limits, or any side effects. The description only notes included metrics and dimensions, missing critical behavioral context for a data retrieval tool.

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?

The description is a single concise sentence covering key aspects: data type, included metrics, and aggregation dimensions. No wasted words. However, for a tool with 40 parameters, a slightly longer description with structural elements (e.g., bullet points) could improve readability and completeness.

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?

Given the tool's high complexity (40 parameters, no output schema, no annotations), the description is insufficient. It does not explain output format, pagination, required parameter combinations, or data scope limitations. The description provides a general overview but lacks the depth needed for an agent to use the tool effectively.

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?

Schema coverage is 100%, so baseline is 3. The description adds high-level context about metric types and aggregation dimensions, which is not detailed in individual parameter descriptions. However, it does not explain parameter combinations or dependencies, so value added is marginal. Score reflects adequate but not exceptional contribution.

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 tool retrieves product analysis data (v2.0) and lists key metrics (browsing, sessions, advertising, sales, comparisons). It also specifies supported aggregation dimensions (ASIN, parent ASIN, MSKU, etc.), making the purpose clear. However, it does not explicitly distinguish from sibling tools like sellfox_product_sales, which appears to be a simpler version.

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?

No guidance on when to use this tool vs. alternatives. The description only states what it does, without any when-to-use, when-not-to-use, or prerequisite conditions. Sibling tools like sellfox_product_sales or sellfox_ad_report_create are not mentioned, leaving the agent without context for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.