Get HitKeep Ecommerce Analytics

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

Annotations already declare readOnlyHint=true, and the description's 'Read' aligns. Beyond that, the description adds context on the types of data returned (e.g., top products, source stats) which is not in annotations. However, it does not disclose behavioral traits like potential large response sizes or that limit is capped at 50.

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 21-word sentence that front-loads the purpose. No unnecessary words; every word adds value. It is optimally concise.

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 complexity (7 params, output schema exists), the description provides high-level output details that help an agent understand what the tool returns. However, it could mention that filters are optional and that results are capped, though those are in the schema. Overall, adequate for context.

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% with clear descriptions for all 7 parameters. The description does not add further parameter-level meaning; it only summarizes output. Baseline 3 is appropriate as the schema does the heavy lifting.

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 verb 'Read' and the resource 'ecommerce analytics for one site', listing specific data categories (summary, top products, source stats, breakdowns). It distinguishes from sibling tools like hitkeep_get_site_overview which provides general site analytics.

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 does not explicitly provide when-to-use or when-not-to-use guidance compared to siblings. It only describes what data is returned, implying use for ecommerce analytics but lacking exclusions or alternative suggestions.

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