Skip to main content
Glama

Check Sandbox Runtime

check_sandbox_runtime

Verify the Docker sandbox runtime is ready and report active isolation defaults to diagnose experiment creation failures, distinguishing a stopped daemon from a rejected request.

Instructions

Confirm the sandbox runtime is available and report the active defaults.

USE THIS first if create_experiment fails, to tell a stopped Docker daemon apart from a rejected request. Returns the Docker version the server is talking to and the isolation defaults every experiment starts from.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.8/5.0
Behavior4/5

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

No annotations are present, so the description carries the burden. It conveys a read-only operation ('Confirm', 'report', 'Returns') and does not imply any side effects. However, it does not explicitly state 'does not modify state', leaving a small gap in transparency.

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 two sentences, front-loaded with the core purpose followed by a precise usage scenario. Every sentence is necessary and there is no fluff.

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?

The description fully covers what the tool does, when to use it, and what it returns. Even without an output schema, the explicit mention of 'Docker version' and 'isolation defaults' gives the agent enough context to interpret the result.

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

Parameters5/5

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

The tool has zero parameters, so the description cannot add parameter-level meaning beyond the schema. The baseline for 0 params is 4, but the description adequately covers the absence of inputs without needing extra clarification, thus earning a 5.

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's purpose: 'Confirm the sandbox runtime is available and report the active defaults.' The verb and resource are specific, and it is easily distinguished from sibling tools like create_experiment or get_job_status.

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

Usage Guidelines5/5

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

Explicit guidance is provided: 'USE THIS first if create_experiment fails' and explains the diagnostic value (distinguishing a stopped Docker daemon from a rejected request). This tells the agent exactly when to invoke this tool over alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Dhananjay-JSR/sandbox-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server