get_store_traffic

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

No annotations exist, so the description carries the full burden of behavioral disclosure. It explicitly lists the return data categories (geographic breakdown, traffic sources, etc.), which gives the agent a clear picture of what to expect. However, it does not disclose whether the data is real-time, historically aggregated, or whether store-level permissions are required. Given the absence of annotations, this is quite transparent but not exhaustive.

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, well-structured sentence that front-loads the core purpose ('Get detailed traffic analytics for a store') and then enumerates the specific metrics. Every phrase earns its place; there is no redundancy or wordiness. Ideal for an agent to quickly parse.

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 has a single required parameter, no output schema, and no nested objects, the description is appropriately complete. It explains the input (domain) and the full set of outputs (7+ data categories). However, it lacks any mention of return format or potential errors (e.g., invalid domain). For a simple read tool with no annotations, this is largely sufficient but not fully exhaustive.

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 100% description coverage for its single parameter domain, with schema description 'The store domain (e.g. 'gymshark.com').' The tool description reinforces this by stating 'for a store' and listing metrics, which adds context about the scope of analytics but does not add new meaning beyond the schema's clear `domain` parameter. With perfect schema coverage and only one parameter, the description provides slight additional context (the type of analytics), warranting a score above baseline 3.

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 starts with a clear verb phrase 'Get detailed traffic analytics for a store' and precisely lists the specific metrics returned (monthly visitors, trend percentage, bounce rate, etc.). It effectively distinguishes itself from sibling tools like get_store_products or get_store_ads, which cover different domains of store data.

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 for retrieving store traffic data, but provides no explicit when-to-use or when-not-to-use guidance. While the context of 'a store' is clear, there is no comparison to siblings like get_store (which may provide broader analytics) or search_stores (which may filter stores). The tool's exclusive reliance on a domain parameter is implied, but not clarified as a constraint.

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