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AIsa Sales

Popular Pages

get_similarweb_popular_pages
Read-onlyIdempotent

Popular Pages. Response follows the SimilarWeb v5 envelope (meta + data). Note: data may arrive grouped as an array of arrays; billing counts rows across all groups.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitYesNumber of rows to return; max 20, billed as 20 if exceeded.
domainYesTarget domain, e.g. example.com.
offsetNoRow offset for pagination.
countryNoTwo-letter country code. Allowed: us, ww. Default: ww. Coverage is limited to ww and us on the current plan.ww
end_dateYesEnd month, format YYYY-MM.
start_dateYesStart month, format YYYY-MM.
web_sourceNoTraffic source device split. Allowed: desktop, mobile_web, total.
granularityNoTime granularity. Allowed: monthly.
traffic_sourceNoTraffic-source filter.
main_domain_onlyNoRestrict to the main domain only (true/false).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior4/5

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

Annotations already mark this as read-only, idempotent, and non-destructive. The description adds useful non-obvious behavior: the SimilarWeb v5 envelope, possible array-of-arrays grouping, and cross-group billing behavior. This exceeds annotation coverage, though it omits auth/rate-limit details and does not describe exact data contents.

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?

The description is short and the envelope/grouping note is economical, but the first sentence 'Popular Pages.' is a redundant restatement of the title and contributes no information. The useful content is front-loaded after a wasted lead-in.

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 10-parameter tool with many similar siblings, the description is not complete enough for selection or correct invocation: it omits the fundamental purpose and usage context. The output schema and parameter schemas cover mechanics, but the description leaves the core 'what does this tool do' to inference from the name.

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 parameters like domain, start_date, end_date, country, web_source, limit, and offset are fully described in the schema. The description adds no parameter-level semantics beyond relating billing to row groups, so the baseline 3 applies.

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

Purpose2/5

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

The description opens with 'Popular Pages,' which merely restates the title and tool name without stating what the tool does or what 'popular pages' means. It never names the resource, the action (e.g., retrieve/count), or how this differs from siblings like get_similarweb_landing_pages or get_similarweb_keywords.

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 guidance about when to call this tool versus the many sibling SimilarWeb getters, no prerequisites, and no exclusions. The only operational note concerns billing and response grouping, which is not use-case guidance.

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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