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AIops-tools

endpoint-aiops-mcp

by AIops-tools

session_list

Retrieve recent login and boot sessions for managed endpoints. Filter by hours and target to analyze login storms and boot activity.

Instructions

[READ] Recent login/boot sessions (endpoint, user, login_ms, boot_ms, result).

Args: since_hours: Look-back window in hours (1..720, default 24). target: Endpoint-management target name from config; omit for the default.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetNo
since_hoursNo
Behavior3/5

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

With no annotations, the description carries full burden. The [READ] prefix indicates read-only, but it does not disclose details like pagination, sorting, error handling, or behavior when parameters are invalid. This is adequate for a simple tool but could be more transparent.

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?

The description is extremely concise, front-loaded with the purpose, and uses bullet points for arguments. Every sentence provides value without redundancy, making it efficient for an agent to parse.

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?

Given the tool's simplicity (2 parameters, no output schema, no annotations), the description covers purpose, return fields, and parameter details. While it lacks sorting or pagination info, it is largely complete for its complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description compensates well: it explains since_hours (range 1..720, default 24) and target (endpoint-management target name from config; omit for default). This adds meaningful context beyond the schema's type and default.

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 tool reads recent login/boot sessions and lists the fields returned (endpoint, user, login_ms, boot_ms, result). This distinguishes it from sibling tools like endpoint_list, which lists endpoints, making its purpose specific and 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?

The description provides no explicit guidance on when to use this tool versus alternatives. It does not mention conditions, prerequisites, or scenarios where other siblings would be more appropriate, leaving the agent to infer usage context.

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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