get_timeseries

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

No annotations are provided, so the description carries the full burden, yet it discloses almost nothing behavioral: no default range, no 90-day cap, no indication of whether results are paginated, cached, or returned as an ordered array. The only behavioral hint ('bucketed by hour or day') merely restates the enum.

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?

A single front-loaded sentence with no filler; the metric and the bucketing dimension come first. It is efficient, though the terseness borders on under-specification rather than true economy.

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?

With no annotations and no output schema, the description is the only place an agent could learn the response shape, ordering, or default behavior, and it supplies none of that. For a 2-parameter analytics tool that returns a series, this leaves important gaps.

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 50%: 'range' is documented in-schema with format, default, and max, while 'granularity' is left to its enum values alone. The description's 'bucketed by hour or day' adds meaning to that enum, so it partially compensates, but it adds nothing about the range format or default.

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 names a concrete resource and metric set (pageviews and unique visitors over time) plus the bucketing dimension, which is enough to distinguish it from sibling list/summary tools like get_overview or top_pages. It stops short of explicitly contrasting itself with any sibling, so it is clear but not fully differentiated.

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?

There is no when-to-use guidance, no mention of when to prefer this over get_overview, find_traffic_spikes, or query_visits, and no stated prerequisites. The agent must infer the use case purely from the metric names.

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