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get_acl_audit

Retrieve ACL audit logs filtered by username, reason, or time range to investigate connection failures and audit access patterns.

Instructions

Get persisted ACL audit log entries from storage. Filter by username, reason (auth, command, key, channel), or time range. Use this to investigate why a connection is failing or audit access patterns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax entries to return
reasonNoFilter by reason (auth, command, key, channel)
endTimeNoEnd time (Unix timestamp ms)
usernameNoFilter by username
startTimeNoStart time (Unix timestamp ms)
instanceIdNoOptional instance ID override
Behavior3/5

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

No annotations exist, so the description carries full burden. It implies a read operation via 'Get persisted ... from storage', but does not disclose side effects, permission requirements, or behavior on empty results. Adequate but not thorough.

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 sentences with no wasted words: first states action and filtering, second gives use cases. Front-loaded and efficient.

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

Completeness4/5

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

No output schema, but description covers purpose and filtering adequately for a simple query tool. Missing details on return format or pagination, but acceptable given the straightforward operation.

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%, and the description largely restates parameter descriptions (e.g., 'Filter by username, reason ... or time range'). It adds minimal new semantic value beyond what the schema already provides.

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 retrieves ACL audit log entries, specifies filtering dimensions, and gives concrete use cases. It distinguishes from sibling tools which are cache/cluster/connection oriented.

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?

Explicit use cases are provided: 'investigate why a connection is failing' and 'audit access patterns'. However, it does not mention when not to use or name alternatives among siblings.

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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