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paoloamato2

FortiOS 7.6.x MCP Server

by paoloamato2

log_event_user

Retrieve user authentication event logs from disk or memory, filtered by username and VDOM, with pagination support.

Instructions

Query user authentication event logs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rowsNoMax rows per page.
startNoStarting offset.
usernameNoFilter by username.
sourceNoLog source: disk or memory.disk
vdomNoTarget VDOM name. Defaults to the server default VDOM. Use '*' for all VDOMs (super-admin required).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries the full burden. It only says 'Query', implying a read-only operation, but does not disclose any other behavioral traits (e.g., pagination behavior, performance impact, or that it is non-destructive). The single sentence is insufficient for full transparency.

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?

The description is extremely concise at one sentence, which is appropriate for a straightforward query tool. It could be slightly improved by adding one more sentence about usage, but it avoids unnecessary verbosity.

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?

Given the presence of an output schema and high parameter coverage, the description is minimally complete. However, it lacks context about the log content (e.g., fields returned) and fails to differentiate from other log event tools, leaving the agent with insufficient context for correct selection.

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?

The input schema has 100% description coverage for all 5 parameters, each with clear descriptions. The tool description adds no extra meaning beyond what the schema already provides. Baseline 3 is appropriate.

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 the action ('Query') and the resource ('user authentication event logs'). Among sibling log tools (e.g., log_event_system, log_event_vpn, log_dns), this one is distinctly focused on user authentication events, making its purpose unambiguous.

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 versus alternatives like log_event_system or log_query. There is no mention of prerequisites, when not to use it, or how it differs from other log tools.

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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