track_product_performance

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

With no annotations, the description carries the full burden but only discloses aggregation and optional niche scoping. It does not explain what performance metrics are included, the return format, or confirm that it is a read-only operation, leaving significant behavioral ambiguity.

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 plus a concise Args note. The first sentence states the core purpose, and each line adds value with no redundancy or irrelevant 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?

The description is adequate for a simple one-param read tool but misses the return value shape and data source. Since there is no output schema, further detail on what 'performance analytics' includes would improve completeness. However, the tool is simple enough that the core purpose is clear.

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?

Despite 0% schema description coverage, the description explains the niche parameter's purpose and default behavior ('Optional niche to scope the summary to. Returns all products if omitted'), compensating for the schema gap. It does not specify value formats, but for a single optional param this is sufficient.

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 uses the specific verb 'Return' and resource 'aggregate performance analytics,' with an optional scope to a single niche. This clearly distinguishes it from sibling tools that record data (record_sale), generate content, or analyze market conditions.

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 description implies usage when aggregate performance analytics are needed, but it does not explicitly state when to use this tool versus alternatives like record_sale or analyze_competition. It provides parameter behavior but no exclusions or alternative references.

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