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Check live support

check_live_support
Read-only

Check which live transports are available on the host before connecting. A read-only probe that tests extension-socket and DBus support across operating systems.

Instructions

Report which live transports are available on this host (read-only; no connection).

When to use: checking live readiness before live_connect. To install the socket helper use live_install_helper; for the full runtime matrix use list_capabilities.

Key params: none. Probes the extension-socket bridge (any OS) and the DBus fast-path (Linux/BSD) independently — never assuming one by OS. Safe regardless of whether live mode is enabled or a session is running.

Return shape: LiveSupportlive_enabled, any_available, best_transport, helper_installed, per-transport transports probes (best-first), and notes.

Example: check_live_support()

Risk class: low (read-only probe).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNo
platformYesOS platform string (linux/darwin/windows).
transportsNoPer-transport probe results, ranked best-first.
live_enabledYesMaster gate state (X1; default on).
any_availableYesWhether any transport is available right now.
best_transportNoBest read-capable available transport, or null.
helper_installedYesWhether the extension-socket helper is installed under a data dir.
Behavior5/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. Description adds significant context: probes extension-socket and DBus independently, safe regardless of live mode, and no session assumption. No contradictions.

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?

Well-structured with bullet points, front-loaded purpose, and every sentence adds value. Efficient use of words with no waste.

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?

Given zero parameters, rich annotations, and output schema reference, the description is complete: covers usage, behavior, return shape, example, and risk class.

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?

No parameters exist, and schema coverage is 100%. The description explains that no params are needed, and adds value by describing the probe behavior and return shape.

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 reports which live transports are available, specifies it's read-only and no-connection, and distinguishes from siblings like live_connect, live_install_helper, and list_capabilities. It uses a specific verb and resource.

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?

Explicitly states when to use ('checking live readiness before live_connect') and lists alternatives ('live_install_helper', 'list_capabilities'). Provides clear context and exclusions.

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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