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Snowflake List Password Policies

snowflake_list_password_policies
Read-only

List password security policies in a Snowflake account or database to audit authentication rules. Filter by database, schema, or name pattern for targeted security reviews.

Instructions

List password security policies defined in the account or database.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patternNo
databaseNo
schema_nameNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed6 schema fields changedv1.2.0
    • addedInput schema / additionalProperties
      Added value: +false
    • removedInput schema / properties / database / title
      Removed value: -"Database"
    • removedInput schema / properties / pattern / title
      Removed value: -"Pattern"
    • removedInput schema / properties / schema_name / title
      Removed value: -"Schema Name"
    • removedInput schema / title
      Removed value: -"snowflake_list_password_policiesArguments"
    • removedOutput schema / title
      Removed value: -"snowflake_list_password_policiesDictOutput"
  2. First observedv0.1.0

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds only the account-vs-database scoping note; it says nothing about return shape, pagination, or privileges required, which is acceptable given the annotation coverage but adds little.

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?

A single front-loaded sentence with no filler, which is the right shape for this tool. It is arguably too terse given the undocumented parameters, but every word earns its place.

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?

An output schema exists so return values need no explanation, but the tool has three entirely undocumented optional parameters and no usage guidance. For a filtering/list tool where pattern and schema scoping drive results, the description is not complete enough to invoke confidently.

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?

All three parameters (pattern, database, schema_name) have 0% schema description coverage, so the description carries the full burden. It hints that results can be scoped to the account or a database but never explains pattern matching syntax or the relationship between database and schema_name.

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?

States a specific verb (List) and resource (password security policies) with the account/database scope. It implicitly separates itself from snowflake_describe_password_policy via list-vs-describe, but never names the sibling or clarifies what a listing returns versus a description.

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?

There is no when-to-use guidance and no mention of alternatives such as snowflake_describe_password_policy for full policy details. The agent must infer usage purely from the name and the one-line purpose.

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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