Good AI Task

AI compatibility

Generating a database ER diagram and index audit script is a clean win for AI.

Good fit

AI can handle this.

Average across 1 submission.

82
avg / 100

The honest read

This is a well-scoped coding task with clear inputs, deterministic outputs, and low error cost — the agent reads schema metadata and writes a script, it doesn't modify data. The main uncertainty is whether the agent has live database access or must work from a schema dump, but either way the deliverable is concrete and verifiable.

Aggregated across 1 submission.

The five dimensions

Repeatability

High

The task follows a fixed pattern: introspect schema via INFORMATION_SCHEMA, emit diagram syntax, flag missing indexes. The same logic applies to any MySQL database with minor parameterization.

Ambiguity Tolerance

High

Success criteria are crisp: a runnable Node.js script, valid PlantUML or Mermaid output, detected foreign keys, and a printed recommendations list. A human can verify all four in minutes.

Data & Tool Availability

Medium

The agent needs database credentials and network access to the MySQL instance, or at minimum a schema dump. If those are provided, the task is fully executable; if not, the agent can only produce a template script.

Error Cost

Low

The script is read-only — it queries INFORMATION_SCHEMA and generates text output. No data is modified, so mistakes are trivially reversible by editing or re-running the script.

Human Judgment Required

Low

Index recommendations based on cardinality statistics and foreign key detection are algorithmic. A human review of the final recommendations is good practice but not strictly required for the script to be useful.

What an agent would need

  • MySQL connection credentials (host, port, user, password, database name) or a schema dump file
  • Node.js environment with mysql2 or similar package available for the connection pool
  • Read access to INFORMATION_SCHEMA tables (TABLES, COLUMNS, KEY_COLUMN_USAGE, STATISTICS)
  • Specification of which diagram format to target (PlantUML vs. Mermaid) and any cardinality threshold for index flagging
  • Ability to write or return the output file (diagram text + recommendations) to the user

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