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AIsa Similarweb

Demographics - Specific Groups

get_similarweb_apis_v1_similarweb_website_analysi_aa2e1f
Read-onlyIdempotent

Usage-based billing; Default request estimate: $0.45 USD (not a fixed price). Declared unit rate: $0.075 USD per similarweb_credit. Account-specific pricing and final settlement may differ.

Input Schema

NameRequiredDescriptionDefault
domainYes
formatNo
countryNoWorldwide data only; values are case-insensitive.ww
metricsYesThe reference example uses the documented v5 metric share. Metric values are comma-separated.
end_dateYes
age_bucketYesSelect one age bucket; age_bucket must be provided exactly once.
start_dateYes
web_sourceNo
granularityYes
main_domain_onlyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Added

TDQS

D1.3/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds one genuinely non-annotated fact — usage-based billing at ~$0.45/request and $0.075 per credit — but says nothing about data semantics, aggregation, freshness, latency, or the age-bucket segmentation the title advertises.

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 text is short but not concise in a useful sense: two HTML-comment delimited lines of billing metadata with no front-loaded purpose statement. The pricing note earns its place, but the structure serves a pricing pipeline rather than an agent deciding how to call the tool.

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?

With 10 parameters, 6 required, 30% schema coverage, no output schema and no purpose statement, the definition is far from complete for an agent to select and invoke it correctly. Nothing disambiguates it from the many sibling demographics/website-analysis tools.

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

Parameters1/5

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

Schema description coverage is only 30% across 10 parameters, so the description is expected to compensate — and it provides zero parameter information. Nothing explains metrics syntax, date-range conventions, main_domain_only, or the required single age_bucket beyond what the schema already states.

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 never states what the tool does; its entire body is pricing boilerplate inside HTML comments. The only hint of purpose comes from the tool name and title ('Demographics - Specific Groups'), which the description does not restate, expand, or clarify. An agent reading only the description cannot tell this returns age-bucket demographic data for a domain.

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?

There is no guidance on when to use this tool, when not to, or how it relates to the many similar siblings (e.g. get_similarweb_demographics, get_similarweb_audience_interest, the other website-analysis variants). The absence is especially costly here because the sibling list contains several near-identical demographics/audience tools.

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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