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get_dedicated_server_status

Read-onlyIdempotent

Check the status of a recently launched dedicated server: running, finished, or canceled, with elapsed time and captured output tail; reports if none was launched.

Instructions

Polls the state of the most recent launch_dedicated_server job: running / finished / canceled, with elapsed time and a tail of captured process output. Honest has_server:false if no server was ever launched this editor session.

Returns: { has_server: bool, running?: bool, finished?: bool, canceled?: bool, exit_code?: int, command_line?: string, elapsed_seconds?: number, output_tail?: string }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so the safety profile is covered. The description adds genuinely useful behavior: the running/finished/canceled state model, the returned elapsed time and output tail, and the explicit has_server:false edge case when nothing was launched this session.

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?

Purpose is front-loaded in the first sentence, followed by a compact return-shape block. No filler, and the enumerated return type earns its space because no output schema exists.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description must carry the return contract, and it does so fully via the field list plus the no-server edge case. Annotations cover safety and there are no parameters, so nothing an agent needs is missing.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a parameterless tool applies. The description correctly spends no words on nonexistent inputs.

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?

States a specific verb (polls) and a precisely scoped resource (the most recent launch_dedicated_server job), then enumerates the observable states. An agent can distinguish it from launch_dedicated_server and stop_dedicated_server without opening any schema.

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

Usage Guidelines4/5

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

By naming the launch_dedicated_server job it is tied to, it clearly signals its role as the status-check companion to the launch tool. It doesn't explicitly say when-not to use it or name an alternative poller, but for a no-arg status endpoint the context is adequate.

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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