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ET Ducky

Get agent

get_agent
Read-only

One agent with its latest health sample (CPU, memory, free space on C:, uptime, pending reboot, make and model) and its number of active alerts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYesThe agentId from list_agents.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds valuable behavioral detail by enumerating the exact payload fields returned, which is important because there is no output schema. It still omits error behavior (e.g., unknown agent_id) and the freshness semantics of 'latest'.

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?

It is a single, front-loaded clause with no filler, and the parenthetical list of fields is an efficient way to convey return shape. The only mild structural weakness is that it is a noun phrase rather than an explicit verb-led instruction, and the parenthetical is dense.

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?

For a simple read tool with no output schema, the description compensates by naming the returned fields and the active alert count, and annotations cover the safety profile. It is nearly complete, missing only error handling and freshness precision, which are minor for this complexity.

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% for the single agent_id parameter, and its schema description ('The agentId from list_agents') already explains sourcing. The tool description adds no further parameter semantics or format details, making the baseline 3 appropriate.

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 states a clear resource and scope ('One agent') and enumerates the returned data (CPU, memory, free space, uptime, pending reboot, make/model, active alerts), which distinguishes it from the plural list_agents. It lacks an explicit verb and does not name the sibling alternatives, so it falls short of a 5.

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?

There is no explicit when-to-use guidance, no conditions for choosing this tool over list_agents, get_fleet_summary, or list_alerts, and no prerequisites or exclusions. The singular scope only weakly implies usage, leaving the agent to infer 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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