emit_assumption_set
Emit the set of implicit RELIED-ON preconditions in the subsystem. Do NOT hunt bugs. For each key
This record as markdown: /tools/0sec/emit-assumption-set.md
What emit_assumption_set does on 0sec
AI agents use emit_assumption_set to create or update resources in 0sec, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your 0sec environment.
Why emit_assumption_set is rated Medium
An AI agent can call emit_assumption_set faster than any human can review: one bad instruction and it creates or modifies resources in 0sec by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs emit_assumption_set safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 0sec, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For emit_assumption_set, this is the rule to start with:
emit_assumption_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 0sec, apply this rule, and every emit_assumption_set call is checked against it from then on.
Questions about emit_assumption_set
Emit the set of implicit RELIED-ON preconditions in the subsystem. Do NOT hunt bugs. For each key. It is categorised as a Write tool in the 0sec MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the 0sec MCP server in PolicyLayer and add a rule for emit_assumption_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 0sec. Nothing to install.
emit_assumption_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 emit_assumption_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 emit_assumption_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.
emit_assumption_set is provided by the 0sec MCP server (0sec-labs/0sec). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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