get_workers

get_workers

Server Model Radar srclight/model-radar
Category Read
Risk class Low
Parameters 00 required

What get_workers does on Model Radar

AI agents call get_workers to retrieve information from Model Radar without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_workers needs a policy

The tool name and server purpose (monitoring and ranking LLM models) indicate this retrieves worker or model status information without modifying, deleting, or executing external operations. This is a Read operation with minimal blast radius—at worst, exposing model availability data. Low severity due to lack of destructive or operational side effects.

From the tool's definition Tool name 'get_workers' suggests retrieving a list of worker/model information. The server context describes pinging models and ranking them, implying a query/retrieval function. No description provided, lowering confidence slightly.

Questions about get_workers

What does the get_workers tool do? +

get_workers. It is categorised as a Read tool in the Model Radar MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_workers? +

Register the Model Radar MCP server in PolicyLayer and add a rule for get_workers: 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 Model Radar. Nothing to install.

What risk level is get_workers? +

get_workers is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_workers? +

Yes. Add a rate_limit block to the get_workers 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.

How do I block get_workers completely? +

Set action: deny in the PolicyLayer policy for get_workers. 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.

What MCP server provides get_workers? +

get_workers is provided by the Model Radar MCP server (srclight/model-radar). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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