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top_pages

Read-onlyIdempotent

Return the top pages for a specific project, ranked by views in a time window. Default window is the last 7 days. Use list_projects first if you don't know the project name. Returns path, views, uniqueVisitors, and percentage of total views for each page. Pass user to see pages a specific visitor hit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userNoOptional. Filter to one visitor/user. Accepts userEmail (case-insensitive) or visitorId (exact). For the full per-user snapshot prefer user_activity.
limitNoMaximum number of pages to return. Default 20, max 50.
sinceNoStart of window as unix milliseconds. Defaults to 7 days ago.
untilNoEnd of window as unix milliseconds. Defaults to now.
projectYesProject name (case-insensitive, e.g. 'slopbench') or project id from list_projects.

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint and idempotentHint, so the description's mention of default window and return fields adds some context but no additional behavioral traits like rate limits or destruction.

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?

Four sentences with no unnecessary words. First sentence states purpose, second gives default, third prerequisite, fourth explains a parameter. Ideal conciseness.

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?

Without output schema, the description lists return fields. It covers default window, prerequisite, and user filtering. Lacks explicit statement that results are sorted descending by views, but is otherwise complete.

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%, so the description adds minimal extra meaning beyond the schema's parameter descriptions. The mention of default window and user filter is helpful but not substantial.

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

Purpose4/5

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

The description clearly states it returns top pages for a project ranked by views, and lists return fields. However, it does not explicitly differentiate from sibling tools like pageviews_count in the main description, though the schema hints at preferring user_activity.

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

Usage Guidelines5/5

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

Provides explicit guidance: default window is 7 days, suggests using list_projects to find project name, and in the parameter description recommends user_activity for full per-user snapshot, which clearly distinguishes when to use this tool.

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

A4/5.0
Disambiguation5/5

All tools have clearly distinct purposes. Funnel operations (compute, create, delete, get, list, update) are well-separated from event tools (events_count, recent_events) and pageview tools (pageviews_count, top_pages, top_referrers). Composite snapshots (user_activity, weekly_digest) and utility tools (get_usage, list_projects) are unique.

Naming Consistency3/5

Naming pattern is inconsistent: some tools use verb_noun (compute_funnel, create_funnel), others noun_verb (events_count, pageviews_count), and some are adjective_noun (recent_events, top_pages) or noun_noun (user_activity, weekly_digest). While readable, the lack of a consistent convention reduces predictability.

Tool Count4/5

15 tools is at the upper boundary of 'well-scoped' but still appropriate for an analytics platform. Each tool serves a necessary function without unnecessary duplication, though a few more could be justified.

Completeness4/5

The tool set covers core analytics operations: CRUD for funnels, event and pageview counting, top pages/referrers, user and weekly snapshots, and project/usage info. Minor gaps exist (e.g., no session-level detail), but overall it addresses common analytics queries well.