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Cluster detail

get_cluster
Read-onlyIdempotent

One cluster with its member keywords, the site pages already covering it, the live SERP snapshot status and the competitor insights Seonix extracted (must-mention entities, recommended blocks, topical coverage, gaps).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "cluster_id": "<cluster_id>"
    },
    "name": "get_cluster"
  }
}

Input Schema

NameRequiredDescriptionDefault
cluster_idYesCluster id from list_clusters.
project_idNoProject id or slug.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, closed-world, so the safety profile is covered. The description adds real value by disclosing the returned payload shape (competitor insights, must-mention entities, topical coverage, gaps) in a tool with no output schema. It does not cover behavior when cluster_id is unknown or from another project.

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?

A single front-loaded sentence with no filler; each enumerated item adds information. The trailing parenthetical is dense but earns its place by naming the insight types.

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

Completeness5/5

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

With annotations covering safety and the description covering the (undocumented) return contents, an agent has enough to call this correctly. Usage routing is the only soft spot, and the schema supplies the cluster_id provenance.

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 coverage is 100%, and both parameters are documented there, including that project_id accepts an id or slug. The description offers no additional parameter semantics beyond the schema, so the baseline 3 applies.

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 names a specific resource (one cluster) and enumerates its component payload: member keywords, covering site pages, SERP snapshot status, and competitor insights. The retrieval verb is implicit rather than stated, and the contrast with list_clusters is only inferable from 'One cluster'.

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

Usage Guidelines2/5

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

There is no guidance on when to prefer this over list_clusters, analyze_seo, or get_results, and no exclusions. The only routing cue lives in the schema ('Cluster id from list_clusters'), not in the description itself.

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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