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SERP Players - Clicks over time

get_similarweb_serp_players_timeseries
Read-onlyIdempotent

SERP Players - Clicks over time. Response follows the SimilarWeb v5 envelope (meta + data).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitYesNumber of rows to return; max 20, billed as 20 if exceeded.
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
keywordYesTarget keyword.
end_dateYesEnd month, format YYYY-MM.
start_dateYesStart month, format YYYY-MM.
granularityNoTime granularity. Allowed: monthly.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the envelope format ('SimilarWeb v5 envelope (meta + data)'), which is useful behavioral context beyond the annotations. However, it doesn't disclose pagination behavior, rate limits, or billing implications (though the limit parameter description covers billing). The description adds some value but not rich behavioral context.

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

Conciseness4/5

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

Two sentences with no waste. The core resource and metric are front-loaded, and the envelope note is a useful addition. It could arguably include a hint about the time-series nature, but the title already covers that. Efficient and appropriately sized.

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

Completeness3/5

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

The output schema exists, so return values are covered. The annotations cover safety. The description covers the envelope format. However, for a time-series tool with 7 parameters, an agent might benefit from knowing how the data is shaped (e.g., one row per month per player) or how it differs from the aggregated sibling. The description is adequate but not complete for distinguishing from get_similarweb_serp_players_aggregated.

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 the schema already documents all 7 parameters. The description adds no parameter-specific meaning beyond what the schema provides. The 'Clicks over time' phrasing implies the time-series nature of the data, which relates to start_date/end_date/granularity, but doesn't add syntax or format details. Baseline 3 is appropriate when schema does the heavy lifting.

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 states a specific resource ('SERP Players') and metric ('Clicks over time'), which clearly distinguishes it from sibling tools like get_similarweb_serp_players_aggregated. However, it doesn't explicitly mention that this is a time-series variant, though the name and title convey that. The verb is implied ('get') rather than stated, but the resource and metric are clear.

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

Usage Guidelines3/5

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

The description provides no explicit when-to-use guidance or alternatives. The sibling list includes get_similarweb_serp_players_aggregated, which is the likely alternative, but the description doesn't mention it. The context of 'Clicks over time' implies a time-series use case, but an agent would have to infer when to choose this over the aggregated variant.

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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