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anon_generate_rules

Generate anonymization rules for PII fields using masking, hashing, synthetic data, redaction, or mixed strategies. Optionally enable reversible tokenization to balance privacy with data utility.

Instructions

Generate anonymization rules with masking, hashing, and synthetic data replacement

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsYesPII fields to anonymize (e.g. 'email', 'phone', 'ssn', 'name')
api_keyNoAPI key for authentication
strategyNoAnonymization strategymixed
reversibleNoWhether anonymization should be reversible (tokenization)
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral disclosure burden. It lists strategies but does not disclose what the rule output looks like, whether this mutates state, how authentication via api_key is used, or what side effects occur. There is no contradiction with annotations, since none exist.

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 a single concise sentence with the core action and main strategy options front-loaded. There is no filler or redundant repetition of the tool name.

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

Completeness3/5

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

The tool is relatively simple and the schema covers parameters comprehensively, but there is no output schema and the description does not explain what the generated rules look like or how they are returned. The api_key parameter also hints at authentication needs that are not described.

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 description coverage is 100%, so the schema already documents all four parameters including the strategy enum and defaults. The description adds high-level strategy wording but does not meaningfully deepen understanding beyond the schema. Baseline 3 is appropriate.

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 uses a specific verb ('Generate') and resource ('anonymization rules') and names the core strategies: masking, hashing, and synthetic data replacement. It distinguishes itself from sibling tools like anon_detect_pii and anon_create_script, though it doesn't explicitly name them.

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 is provided on when to use this tool over anon_detect_pii or anon_create_script. There is no mention of prerequisites, context, or scenarios where this tool is the right choice versus an alternative.

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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