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Check Grok

grok_check

Check Grok CLI version, login status, and model availability using grok models command.

Instructions

Discover Grok CLI, run grok --version, and detect login/model availability with grok models.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cwdNoWorking directory for Grok. Defaults to the MCP server cwd.
modelNoGrok model ID to pass with -m/--model.
grokBinNoExplicit Grok binary path. Defaults to GROK_BIN, ~/.grok/bin/grok, ~/.local/bin/grok, Homebrew paths, then PATH.
maxTurnsNoPass --max-turns.
timeoutMsNo
backgroundNoRun as a background job using --output-format streaming-json.
noSubagentsNoPass --no-subagents.
alwaysApproveNoPass --always-approve only when explicitly true.
includeModelsNo
reasoningEffortNoPass --reasoning-effort only for non-default models where the plugin does not know it is unsupported.
disableWebSearchNoPass --disable-web-search.
allowCodexPrivatePathsNoAllow prompts that mention Codex private runtime paths such as ~/.codex. Default false.
Behavior2/5

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

No annotations are present, and the description does not disclose behavioral traits such as read-only nature, side effects, or authentication needs. The actions described (run, detect) imply reading but are not explicitly stated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise but lacks structure. It fails to prioritize key information or provide a clear summary upfront.

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

Completeness2/5

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

Given 12 parameters, no output schema, and 12 sibling tools, the description is insufficient. It does not explain how parameters affect behavior, what the output is, or how this tool fits into the broader toolset.

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?

With 83% schema description coverage, the schema already describes most parameters. The tool description adds no additional parameter context, so a baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description lists specific actions (Discover CLI, run version, detect model availability), but it is vague about the overall purpose and does not distinguish this tool from siblings like grok_models, which also deals with model detection.

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?

No guidance is provided on when to use this tool versus alternatives such as grok_models or grok_run. The description lacks context for decision-making.

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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