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List Grok Models

grok_models

Retrieve raw and parsed output from Grok models, enabling analysis and debugging of model responses.

Instructions

Return raw and parsed grok models output.

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.
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.
Behavior1/5

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

With no annotations, the description must disclose behavioral traits. It only says 'Return', which weakly implies a read operation, but fails to explain side effects, authorization needs, rate limits, or other important behaviors for a tool with many parameters.

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

Conciseness2/5

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

The description is extremely short but under-specifies the tool. It lacks necessary detail, making it more inadequate than concise.

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

Completeness1/5

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

The description is insufficient for a tool with 11 parameters and no output schema. It does not explain return values, parameter interactions, or how the raw/parsed outputs differ.

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 91%, so the schema already describes parameters well. The description adds no additional meaning beyond the schema, meeting the baseline of 3.

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

Purpose2/5

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

The description 'Return raw and parsed grok models output' is vague. While the title suggests listing models, the description does not clearly state that it lists available models, nor does it distinguish from sibling tools like grok_run or grok_check.

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

Usage Guidelines1/5

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 vs alternatives. There is no mention of context, prerequisites, or when not to use it.

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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