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ALTR MCP Server

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by altrsoftware

get_classifiers

Read-only

Retrieve a list of all data classifiers, including managed and custom pattern-based detectors, to identify sensitive data types like SSNs, emails, and phone numbers.

Instructions

List all available data classifiers (pattern-based detectors) in ALTR.

Classifiers automatically detect sensitive data types like SSNs, emails, and phone numbers. Includes both ALTR-managed and custom classifiers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint=true, so the description adds value by specifying the types of classifiers (ALTR-managed and custom) and giving examples. No contradictions.

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

Conciseness5/5

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

The description is three concise sentences, front-loaded with the main action, then explanatory context. No wasted words.

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?

Given no parameters, a read-only annotation, and an output schema present, the description sufficiently covers the tool's purpose and scope. It explains what classifiers are and that both managed and custom are included.

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?

The input schema has no parameters, so the description does not need to add parameter details. It correctly achieves baseline 4 per rubric.

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 clearly states the tool lists all available data classifiers and explains what they are (pattern-based detectors for sensitive data types). It implicitly distinguishes from sibling tools like create_classifier or delete_classifier by focusing on listing.

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?

The usage is clear from the description: use this to get a list of classifiers. However, there is no explicit guidance on when to use this vs alternatives like get_collections or create_classifier, but the purpose is straightforward enough.

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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