predict_clintox
Predict clinical-trial toxicity for a compound using IBM MAMMAL. Returns pred 1 (toxic / likely to fail trials) or 0 (not toxic) plus a raw score. Inference is CPU-bound and may take up to ~60s.
This record as markdown: /tools/io-github-hifarrer-cure-cancer-with-ai/predict-clintox.md
What predict_clintox does on Cure Cancer With AI
AI agents call predict_clintox to retrieve information from Cure Cancer With AI without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
smiles | string | Yes | Compound structure in SMILES notation. |
Parameters from the server's own tool schema.
Why predict_clintox is rated Low
This tool retrieves predictive output from a pre-trained model (IBM MAMMAL) without side effects. It reads compound characteristics as input and returns a classification prediction. No data is created, modified, deleted, or committed financially. The CPU-bound computation is internal model inference, not arbitrary code execution or external system manipulation.
From the tool's definition Tool returns predictions (pred 1 or 0 and a raw score) based on compound input; described as 'Predict' with no mention of modifying data, executing external code, deleting records, or financial transactions.
Attacks that exploit this kind of access
The rule that runs predict_clintox safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Cure Cancer With AI, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For predict_clintox, this is the rule to start with:
predict_clintox is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Cure Cancer With AI, apply this rule, and every predict_clintox call is checked against it from then on.
Questions about predict_clintox
Predict clinical-trial toxicity for a compound using IBM MAMMAL. Returns pred 1 (toxic / likely to fail trials) or 0 (not toxic) plus a raw score. Inference is CPU-bound and may take up to ~60s. It is categorised as a Read tool in the Cure Cancer With AI MCP Server, which means it retrieves data without modifying state.
predict_clintox accepts 1 parameter: smiles. Required: smiles. The full parameter table on this page comes from the server's own tool schema.
Register the Cure Cancer With AI MCP server in PolicyLayer and add a rule for predict_clintox: 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 Cure Cancer With AI. Nothing to install.
predict_clintox 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 predict_clintox 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_clintox. 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_clintox is provided by the Cure Cancer With AI MCP server (https://www.curecancerwithai.com/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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