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Topic clusters

get_topic_clusters
Read-only

Groups keyword ideas for a seed into topic clusters, each with a keyword count, total search volume, and a suggested pillar page.

The pillar page suggestion is the highest-volume member of the cluster. The interactive cluster map lives in the Ranklogs app; this tool returns the data behind it. Pass project_id (a ranking id from list_projects) to overlay tracked keywords. (may use lookups)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedYes
limitNo
project_idNo
language_codeNoen
location_codeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteYes
seedYes
clustersYes
low_balance_noteNo
lookups_remainingYes

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already convey readOnlyHint and openWorldHint, and the description does not contradict them. It adds useful behavioral context by explaining that the pillar page is the highest-volume member and that this tool returns data behind the interactive map, plus how project_id changes the result.

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 compact and front-loaded with the main purpose, then adds only relevant context about the map and project_id. The final parenthetical '(may use lookups)' is cryptic and adds little, preventing a 5.

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?

The description, together with a rich input schema and an output schema, provides enough for an agent to invoke the tool correctly for basic use. It explains the optional project_id overlay and the return concept. It lacks explicit exclusions or mention of limit/language/location semantics, but those are largely inferable from schema.

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?

With 0% schema description coverage, the description must compensate for parameter meaning. It adds value for project_id by identifying it as a ranking id from list_projects and explaining the overlay behavior, and seed is referenced. However, limit, language_code, and location_code are not addressed at all in the description.

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 action and resource: 'Groups keyword ideas for a seed into topic clusters' and names the key outputs (keyword count, total search volume, suggested pillar page). It does not explicitly contrast itself with sibling tools like research_keywords or get_content_targets, so it falls just short of a 5.

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?

Usage is implied by the described function: call it when you need topic clusters for a seed. It also gives a conditional usage hint by saying passing project_id overlays tracked keywords. However, it names no alternatives or when-not-to-use conditions, so guidance is only implicit.

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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TDQS

A3.7/5.0
Disambiguation3/5

Most tools are distinct get_* analytics, but several overlap in purpose: get_ai_visibility vs get_share_of_voice are easy to confuse, and get_project_overview/get_content_action_plan/get_audit_summary all offer prioritized fixes. Descriptions help, but an agent could easily misselect for a generic 'what should I fix?' query.

Naming Consistency5/5

All names follow a consistent snake_case verb_noun pattern (add_, get_, generate_, list_, analyze_, research_), and the get_* prefix dominates read operations. Even win_prompt is a verb_noun and fits the style.

Tool Count2/5

27 tools is past the 25+ threshold and creates a heavy selection surface for an agent. While the SEO/AI-visibility domain is broad, many tools return overlapping 'health/fix/visibility' data and the set would benefit from consolidation.

Completeness3/5

Core workflows (projects, keywords, content briefs, audits, backlinks, AI visibility) are covered, but lifecycle gaps exist: keywords and AI prompts can be added but not removed, there is no list-AI-prompts tool, and no project creation/update is exposed. These are workable but notable missing operations.

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