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Organiq GEO

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Head / chunky middle / long tail

get_longtail_clusters
Read-onlyIdempotent

Splits the period's queries into head, chunky middle and long tail by word count (preset balanced: 1–2 / 3–4 / 5+ words; strict: 1 / 2–3 / 4+; loose: 1–3 / 4–5 / 6+), with queries, clicks, impressions, ctr, position, shares and top examples per tier, plus a Pareto view (share of clicks held by the top 10 % / 25 % / 50 % of queries). Use for "how dependent are we on a few head terms", "how much comes from long-tail", content-planning by intent length. / Cauda longa por nº de palavras e curva de Pareto.

Input Schema

NameRequiredDescriptionDefault
daysNoWindow length in days (default 28). Ignored when startDate and endDate are both given. / Janela em dias.
siteYesProperty: displayName ("example.com"), Search Console siteUrl ("sc-domain:example.com", "https://www.example.com/") or numeric id. A unique substring among visible properties also works ("exam"). list_sites shows the options. / Propriedade por nome, siteUrl ou id.
brandNoall (default); branded = only queries containing one of the property's branded_terms; non-branded = the rest. Needs branded terms set on the property in the Organiq panel, otherwise invalid_argument with the panel URL. / Marca × sem marca.
queryNoOnly queries containing this text, or a regex as /…/ (e.g. "/^how to/"; no flag = case-insensitive).
deviceNoDevice.
presetNoWord-count thresholds (default balanced).
countryNoCountry as ISO-3166-1 alpha-3, as in Search Console: bra, usa, prt, arg.
endDateNoEnd yyyy-mm-dd. Default: last synced date of the property (Search Console lags ~3 days; never "today"). Every response states the period used. / Fim; padrão = última data sincronizada.
examplesNoExamples per tier (default 5).
startDateNoStart yyyy-mm-dd. Default: endDate − (days − 1).
searchTypeNoSearch type (default web).
pageContainsNoOnly pages whose URL contains this text (case-insensitive), e.g. "/blog/".
minImpressionsNoMinimum impressions per query (default 1).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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 covered. The description adds behavioral context by listing the returned metrics (queries, clicks, impressions, ctr, position, shares, top examples per tier) and the Pareto view, which helps set expectations for output. No contradiction with annotations.

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?

The description is two sentences, front-loaded with the core behavior and then use cases, with no wasted words. The bilingual repetition (Portuguese) is the only minor addition, but overall it is tight and well-structured.

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

Completeness4/5

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

Given 13 parameters, no output schema, and the complexity of the tool, the description adequately covers what the tool does, how it segments queries, what metrics are returned, and when to use it. It does not detail every parameter, but the schema handles those, and the return-value description compensates for the missing output schema.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description adds meaning beyond the schema: it explains the exact word-count thresholds for the 'preset' enum (balanced: 1–2 / 3–4 / 5+; strict: 1 / 2–3 / 4+; loose: 1–3 / 4–5 / 6+), which the schema only labels generically. This extra detail is useful for choosing the right preset.

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

Purpose5/5

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

The description uses a specific verb ('Splits') and resource ('the period's queries'), and clearly defines the segmentation into head, chunky middle, and long tail by word count, plus a Pareto view. This distinct purpose (query-length segmentation + Pareto) sets it apart from siblings like get_query_performance or analyze_query_shapes without needing to name them.

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

Usage Guidelines4/5

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

It provides explicit use cases in quotes: 'how dependent are we on a few head terms', 'how much comes from long-tail', and 'content-planning by intent length'. However, it does not state when not to use it or name alternative sibling tools, leaving some inference to the agent.

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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