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Demographics

get_similarweb_demographics
Read-onlyIdempotent

Demographics. Response follows the SimilarWeb v5 envelope (meta + data). Date constraint: start_date and end_date must fall in the SAME month (exactly one monthly bucket).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesTarget domain, e.g. example.com.
formatNoResponse format. Allowed: json.
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: total.
granularityYesTime granularity. Allowed: monthly.
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

D1.8/5.0
Behavior3/5

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

The description adds two behavioral details beyond the annotations: the response envelope ('meta + data') and the critical constraint that start_date and end_date must be in the same month. These are useful and non-obvious. However, it does not describe other behavior such as error conditions or rate limits. It does not contradict the readOnlyHint/idempotentHint annotations.

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

Conciseness2/5

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

The description is extremely short (two sentences) but the first sentence 'Demographics.' is useless filler that adds no information. The valuable date constraint is placed second, not front-loaded. It reads as under-specified rather than deliberately concise.

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

Completeness1/5

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

For a tool with 8 parameters, 4 required, and an output schema, the description fails to explain what the tool actually returns or when to use it. The core question—what demographic metrics are provided—is left unanswered. The two behavioral notes (envelope and date constraint) are helpful but far from sufficient for an agent to understand the tool's role among dozens of SimilarWeb siblings.

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?

The input schema already provides descriptions for all 8 parameters (100% coverage), which sets a baseline of 3. The description adds the month-matching constraint that directly clarifies the date parameters. It does not elaborate on other parameters like main_domain_only or web_source, but the schema covers those adequately.

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

Purpose1/5

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

The description is merely the word 'Demographics.' with no verb, resource, or scope. It doesn't state what demographic data is returned (e.g., age, gender, income) or how it differs from the many similar SimilarWeb audience tools. It is nearly a tautology of the tool name.

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

Usage Guidelines1/5

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

No guidance is given on when to use this tool versus alternative tools like get_similarweb_audience_interest or get_similarweb_website_top_geographies. It does not mention prerequisites, typical scenarios, or exclusions.

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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