[rpc] fix: classify zero visible GPUs as unavailable

[Wangmerlyn]

Summary

• Classify startup attempts with zero visible Torch-addressable GPUs as startup-unavailable before explicit GPU ordinal validation.
• Preserve invalid-params behavior for explicit GPU IDs outside a non-empty visible set.
• Update MCP/service docs and AGENTS.md to record the zero-visible vs out-of-range contract.

Verification

• PYTHONPATH=src:. pytest -q tests/test_cli_service_commands.py tests/mcp/test_server.py tests/global_controller/global_keep_test.py tests/test_package_metadata.py

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Review details

⚙️ Run configuration

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Run ID: 84cb2607-803b-4c42-8895-2bb68bac1f0e

📥 Commits

Reviewing files that changed from the base of the PR and between a99bd49 and f5fd457.

📒 Files selected for processing (4)

• AGENTS.md
• docs/guides/mcp.md
• src/keep_gpu/global_gpu_controller/global_gpu_controller.py
• tests/mcp/test_server.py

✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Commit unit tests in branch codex/no-visible-startup-unavailable

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[gemini-code-assist]

Code Review

This pull request updates the system behavior when there are zero visible GPU devices, ensuring that starting a keep worker with explicit GPU IDs results in a startup unavailable error (JSON-RPC code -32000). This behavior is documented in AGENTS.md and docs/guides/mcp.md, implemented in global_gpu_controller.py by raising a NoGPUAvailableError when the visible device count is zero or less, and verified via a new unit test in test_server.py. There are no review comments, and I have no feedback to provide.

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