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get_pages
Read-onlyIdempotent

Every page viewed, with its numbers and trend.

Input Schema

NameRequiredDescriptionDefault
byNoFor pages: path or url. For lifetime value: segments, to read by saved segment. For heatmap clicks: how to group them.
toNoEnd date, inclusive (YYYY-MM-DD), for period custom
dirNoSort direction
fromNoStart date (YYYY-MM-DD), for period custom
sortNoWhat to sort by
limitNoHow many rows
modelNoRevenue attribution model (defaults to the website's)
offsetNoHow many rows to skip, for the next page
periodNoDate range in the website's timezone, as on the dashboard: today, 24h, 7d, 30d (default), 90d, 12m, mtd, lastmonth, ytd, all, custom…
searchNoOnly rows containing this
filtersNoFilters, each [dimension, operator, value], e.g. [["country","is","US"]]
websiteYesWebsite id or domain, e.g. example.com (see list_websites)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.5/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered elsewhere. The description adds only that each row carries "numbers and trend"; it says nothing about default period (30d per the schema), pagination via limit/offset, row caps, or sort defaults, all of which matter for a 12-parameter analytics query.

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

Conciseness3/5

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

It is a single front-loaded clause with zero padding, which is good, but it is under-specified rather than concise and the word "numbers" is too vague to convey what metrics come back. Brevity here costs information rather than saving it.

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

Completeness2/5

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

For a 12-parameter, multi-enum analytics tool with no output schema, the description leaves the agent guessing about return shape (columns, trend semantics), default date range, and pagination. Annotations carry the safety story, but the functional story is essentially absent.

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 description coverage is 100%, so every parameter — period presets, filters triplets, by=path|url, sort/dir, limit/offset — is already documented in the schema. The description adds no syntax, defaults, or interaction rules beyond that, so the baseline of 3 applies.

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

Purpose3/5

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

The fragment "Every page viewed, with its numbers and trend" identifies the resource (pages) and hints at per-page metrics plus a trend column, but supplies no verb and never says it returns a ranked/tabulated list of pages for a website. It does not distinguish itself from siblings like get_breakdown, get_performance, or get_breakdown_compared, which plausibly also return per-dimension metrics.

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

Usage Guidelines2/5

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

There is no when-to-use guidance at all: nothing tells the agent to pick this over get_breakdown or get_performance, nor any prerequisite such as needing a website id from list_websites (that hint lives only in the schema). Usage must be inferred entirely from the tool name.

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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