run
AI agents invoke run to trigger actions in Model Radar. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
The 'run' tool likely executes code or inference requests against one or more LLM models. While the description is empty (lowering confidence slightly), the server's architecture and sibling tool names strongly indicate this triggers external operations whose effects depend on which model, prompt, and parameters an AI agent provides.
From the tool's definition Tool named 'run' with no description; combined with server's purpose (querying 130+ LLM models across 17 providers), 'run' almost certainly executes queries or inference operations against external LLM services.
Attacks that exploit this kind of access
run. It is categorised as a Execute tool in the Model Radar MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Model Radar MCP server in PolicyLayer and add a rule for run: 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.
run is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run 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 run. 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.
run 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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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