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spss_cluster_hierarchical

Perform hierarchical cluster analysis with dendrogram, using multiple linkage methods and distance measures to reveal data groupings in SPSS.

Instructions

Run hierarchical cluster analysis with dendrogram. Supports multiple linkage methods and distance measures. Requires IBM SPSS Statistics to be installed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
methodNoWARD
measureNoSEUCLID
file_pathYes
variablesYes
dendrogramNo
id_variableNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

C2.7/5.0
Behavior2/5

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

There are no annotations, so the description carries the full burden. It discloses only that SPSS must be installed and that multiple linkage/distance options are supported; it does not say whether the operation reads the input file only, creates output artifacts, or has side effects on the file.

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?

Three short sentences with the main action first and no filler. The SPSS prerequisite is useful, though 'with dendrogram' partly duplicates the dendrogram parameter's default behavior.

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

Completeness2/5

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

For a 6-parameter statistical tool with no schema descriptions and no annotations, this is too thin. The output schema covers returns, but missing parameter semantics, selection guidance, and behavior mean an agent cannot confidently invoke or configure it beyond guessing from property names.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It adds a general hint that method relates to linkage and measure relates to distance, but it never explains file_path, variables, id_variable, or dendrogram semantics, and the enum values are left entirely to their names.

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 an exact statistical procedure ('hierarchical cluster analysis') and mentions the dendrogram output, so an agent can identify what the tool does. It does not explicitly contrast with the sibling clustering tools spss_twostep_cluster and spss_quick_cluster, but the method name itself is specific enough to be distinguishable.

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?

No guidance about when to choose hierarchical clustering over the sibling twostep_cluster or quick_cluster tools, and no exclusions or preconditions beyond the SPSS installation note. The intended use is only implied by the tool's name and the verb 'Run'.

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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