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altrsoftware

ALTR MCP Server

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by altrsoftware

create_job

Create an asynchronous classification scan job to discover sensitive data in a database using specified classifiers, then poll for results.

Instructions

Run an automated classification scan to discover sensitive data in your database.

Scans database columns using classifiers in the specified collection to identify columns containing PII, financial data, etc.

Classification jobs run asynchronously and can take 10-30+ minutes depending on database size. After creating a job, use get_jobs to poll for completion, then get_classification_report to view results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_typeYesJob type to run (FULL, INCREMENTAL, RECLASSIFICATION).
database_idYesTarget database ID (from `get_databases` / `get_database_id`).
collection_nameYesClassifier collection to use for this run.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations provided, so description carries burden. It discloses asynchronous behavior (10-30+ minutes) and recommends polling. Could mention read-only nature, but still informative.

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?

Two concise paragraphs, front-loaded with main purpose. No filler. Every sentence adds value.

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?

Covers purpose, async behavior, follow-up tools. Output schema exists, so return values need not be explained. Complete for a 3-param tool with no annotations.

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%; description adds little beyond schema for parameters (e.g., 'classifiers in the specified collection' for collection_name). Baseline score of 3 applies.

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 it runs an automated classification scan to discover sensitive data. It specifies the resource (database) and action (scan), and differentiates from siblings like create_classifier and create_database.

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?

Provides clear context: scans database columns using classifiers in a collection. Mentions asynchronous nature and suggests follow-up tools (get_jobs, get_classification_report). Does not explicitly exclude alternatives, but guidance is adequate.

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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