AI agents invoke predict_initial_states to trigger actions in Cellrank. 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.
This tool performs a computational operation (computing/predicting initial states) that triggers external processing of genomic data. It doesn't merely read existing data but actively computes derived results using statistical distributions, making it an Execute category tool.
From the tool's definition Compute initial states from macrostates using coarse_stationary_distribution
Attacks that exploit this kind of access
Compute initial states from macrostates using coarse_stationary_distribution. It is categorised as a Execute tool in the Cellrank MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Cellrank MCP server in PolicyLayer and add a rule for predict_initial_states: 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 Cellrank. Nothing to install.
predict_initial_states 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 predict_initial_states 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 predict_initial_states. 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.
predict_initial_states is provided by the Cellrank MCP server (scmcphub/cellrank-mcp). 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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