get_page_traffic

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves traffic data but doesn't mention any behavioral traits such as rate limits, authentication requirements, data freshness, or what the output format looks like (e.g., metrics like pageviews, sessions). This is a significant gap for a tool with no annotation coverage.

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, efficient sentence that directly states the tool's purpose without unnecessary words. It's front-loaded and every part earns its place, making it easy to parse quickly.

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 complexity of a traffic data tool with no annotations and no output schema, the description is incomplete. It lacks details on what traffic data is returned (e.g., metrics, format), behavioral aspects like permissions or limits, and differentiation from sibling tools, leaving the agent with insufficient context for effective use.

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 description adds minimal value beyond the input schema, which has 100% coverage with clear descriptions for all three parameters (url, start_date, end_date). It implies URL-based filtering but doesn't provide additional context like URL format constraints or date range implications. 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 tool's purpose with a specific verb ('Get') and resource ('traffic data for a specific page'), and it specifies the filtering mechanism ('by filtering with its URL'). However, it doesn't explicitly differentiate this tool from its siblings like 'get_top_pages' or 'get_total_visitors', which likely provide different scopes or aggregations of traffic 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 provides no guidance on when to use this tool versus its siblings (e.g., 'get_domain_visitors', 'get_top_pages', 'get_total_visitors', 'get_traffic_sources'). It mentions filtering by URL but doesn't explain alternative scenarios or exclusions, leaving the agent to infer usage from tool names alone.

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