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Statable Analytics

visitors_over_time

Read-only

Daily visitors and pageviews time series for a site, in the site's own timezone. Returns {"results":[{"dimensions":{"time:day":"YYYY-MM-DD"},"metrics":{"visitors":N,"pageviews":N}}]}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteNoNumeric site_id (preferred, from list_sites) or a domain, e.g. example.com — scheme, www. and path are ignored when matching. If several sites share the domain the call fails and lists their site_ids. Omit for a single-site key.
periodNo"7d"/"30d", or any "Nd" = last N full days (N = 1..90); "month" = current calendar month to date. Default 30d.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds meaningful context beyond annotations by specifying the site's own timezone and providing the exact JSON response shape, including dimensions and metrics. This is helpful for an agent predicting the output.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with an inline JSON example makes the description compact and immediately usable. Every element adds value: the daily time-series scope, the timezone note, and the return format. No filler or redundant wording.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only time-series tool, the description is nearly complete: it defines the resource, the timezone, and the exact return structure via an example. Since there is no output schema, embedding the response JSON is valuable. It could optionally mention period edge cases or multi-site fallback, but those are already covered in the input schema. Overall, an agent can call this tool correctly with high confidence.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, with the 'site' and 'period' parameters already documented in the schema. The description does not need to repeat parameter details. It adds no extra parameter-level semantics, so the baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Daily visitors and pageviews time series for a site.' This clearly distinguishes it from sibling tools like current_visitors (realtime) and top_pages (ranked pages), making the tool's purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'Daily ... time series' gives clear context for when the tool is appropriate: when the agent needs daily historical visitor/pageview data. It does not explicitly name alternatives or state when-not-to-use, but the temporal scope is strong enough for an agent to select it correctly in most cases.

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

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TDQS

A3.7/5.0
Disambiguation4/5

Most tools map cleanly to distinct resources and actions: sites, goals, funnels, tracking settings, filters, and statistics. Some ambiguity exists between the generic query_stats and the many top_* / visitors_over_time convenience queries, but the descriptions mostly clarify when each should be used.

Naming Consistency3/5

The CRUD tools consistently use create_, get_, list_, and update_ prefixes, but a sizable minority deviate: top_* forms a separate pattern, and current_visitors, funnel_report, and visitors_over_time are noun-phrase names rather than verb_noun.

Tool Count3/5

25 tools sits at the heavy end for an analytics server. Many top_* tools overlap with what query_stats could do, making the count feel somewhat inflated, though the domain is broad enough that the number is not unreasonable.

Completeness3/5

The tool set covers site management, goals, funnels, tracking, filters, and statistics well. However, there are no delete operations for sites, goals, or funnels, leaving an obvious lifecycle gap and no way to clean up configured resources.

Resources