Get the Python requirements for a specific run (experiment). 获取实验的 Python 依赖信息。
AI agents call swanlab_get_run_requirements to retrieve information from Swanlab without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves metadata about Python dependencies associated with a run—purely a data retrieval operation with no side effects. It does not execute code, modify data, delete anything, or involve financial transactions.
From the tool's definition Tool name 'swanlab_get_run_requirements' and description state it 'Get the Python requirements for a specific run' with no modification or execution capability. Server description explicitly states 'read-only access'.
Documented attack patterns abuse exactly the kind of access swanlab_get_run_requirements gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Swanlab, and nothing reaches the server without passing your rules. This is the rule we recommend for swanlab_get_run_requirements:
{
"version": "1",
"default": "deny",
"tools": {
"swanlab_get_run_requirements": {}
}
}swanlab_get_run_requirements is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Get the Python requirements for a specific run (experiment). 获取实验的 Python 依赖信息。. It is categorised as a Read tool in the Swanlab MCP Server, which means it retrieves data without modifying state.
Register the Swanlab MCP server in PolicyLayer and add a rule for swanlab_get_run_requirements: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Swanlab. Nothing to install.
swanlab_get_run_requirements is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the swanlab_get_run_requirements rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for swanlab_get_run_requirements. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
swanlab_get_run_requirements is provided by the Swanlab MCP server (nexisato/swanlab-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Swanlab, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
11 Swanlab tools catalogued and risk-classified — across an index of 43,000+ MCP servers.