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iPraBhu

mcp-perforce-server

by iPraBhu

p4_audit

Retrieve audit log entries filtered by user, tool, result, or date to support compliance reporting and security reviews. Requires audit logging enabled.

Instructions

Get audit log entries for compliance reporting (requires audit logging enabled)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolNoFilter by tool name
userNoFilter by user
sinceNoFilter entries since this ISO date
formatNoOutput format (default: json)
resultNoFilter by result type
workspacePathNoPath to workspace directory (optional, defaults to current directory)
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 disclosure burden. It mentions the prerequisite but omits return format, ordering, pagination, permission requirements, or any side effects. For a tool an agent may invoke autonomously, this is thin behavioral context.

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?

One sentence front-loads the verb and resource, and the prerequisite is tucked into a short parenthetical. No filler or redundant restatement 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 schema covers all inputs and the description states the core purpose and prerequisite. With no output schema and no annotations, however, the description leaves return behavior and operational details unspecified, creating a moderate gap for a complete agent-facing definition.

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 input schema already documents all six parameters. The description adds no parameter-specific meaning, but none is needed because the schema handles it fully.

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 and resource: 'Get audit log entries' for 'compliance reporting'. This clearly identifies the object and intended use. It does not explicitly differentiate from sibling p4_compliance, but 'audit log entries' is specific enough for most routing decisions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides a useful prerequisite ('requires audit logging enabled') and names the use case ('compliance reporting'), which implies when the tool is appropriate. However, it gives no explicit guidance about alternatives or when not to use this tool, leaving routing partially to inference.

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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