stocktoken_policy_set
Update session policy guardrails for AI Agent Tokenized Stock OS.
This record as markdown: /tools/dev-aatos-aatos/stocktoken-policy-set.md
What stocktoken_policy_set does on AI Agent Tokenized Stock OS
AI agents use stocktoken_policy_set to create or update resources in AI Agent Tokenized Stock OS, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AI Agent Tokenized Stock OS environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
killed | boolean | — | |
allowedSymbols | array | — | |
maxNotionalUsd | number | — | |
maxSlippageBps | integer | — | |
requireSimulate | boolean | — | |
maxDailyNotionalUsd | number | — |
Parameters from the server's own tool schema.
Why stocktoken_policy_set is rated Medium
An AI agent can call stocktoken_policy_set faster than any human can review: one bad instruction and it creates or modifies resources in AI Agent Tokenized Stock OS by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs stocktoken_policy_set safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AI Agent Tokenized Stock OS, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For stocktoken_policy_set, this is the rule to start with:
stocktoken_policy_set stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect AI Agent Tokenized Stock OS, apply this rule, and every stocktoken_policy_set call is checked against it from then on.
Questions about stocktoken_policy_set
Update session policy guardrails for AI Agent Tokenized Stock OS. It is categorised as a Write tool in the AI Agent Tokenized Stock OS MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
stocktoken_policy_set accepts 6 parameters: killed, allowedSymbols, maxNotionalUsd, maxSlippageBps, requireSimulate, maxDailyNotionalUsd. The full parameter table on this page comes from the server's own tool schema.
Register the AI Agent Tokenized Stock OS MCP server in PolicyLayer and add a rule for stocktoken_policy_set: 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 AI Agent Tokenized Stock OS. Nothing to install.
stocktoken_policy_set is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the stocktoken_policy_set 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 stocktoken_policy_set. 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.
stocktoken_policy_set is provided by the AI Agent Tokenized Stock OS MCP server (https://aatos.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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