Skip to main content
Glama

get_authz_audit

Retrieve authorization audit logs with filters by action, result, user, resource, and date range. Supports pagination for efficient log review.

Instructions

Query the authorization audit log with filters and pagination.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number
sizeNoPage size
sinceNoStart timestamp (ISO 8601)
untilNoEnd timestamp (ISO 8601)
actionNoFilter by audit action
resultNoFilter by result outcome
user_idNoFilter by user ID
resource_idNoFilter by resource ID
resource_typeNoFilter by resource type
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It implies read-only access but does not mention permissions, performance impact, or what happens when filters match no results. The description is too terse for a 9-parameter query tool.

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?

Single sentence, no wasted words. The information is front-loaded and directly states the core function.

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?

Despite 9 parameters and no output schema or annotations, the description provides almost no context about the return format, audit log semantics, or usage patterns. It is insufficient for an agent to use the tool effectively.

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?

All 9 parameters are described in the schema with 100% coverage. The description adds no new meaning beyond summarizing 'with filters and pagination'. Baseline of 3 is appropriate as it does not enhance understanding.

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 clearly states the tool queries the authorization audit log with filters and pagination, using a specific verb and resource. However, it does not differentiate from sibling tools like get_logs or list_traces, which might cause confusion.

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 on when to use this tool versus alternatives. The description does not mention prerequisites, use cases, or which scenarios are appropriate, leaving the agent to infer usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/nobrainer-tech/langflow-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server