veto_outcome
Veto a proposed market outcome (admin).
This record as markdown: /tools/launch-on-basis-mcp-ts/veto-outcome.md
What veto_outcome does on Basis MCP Server
AI agents invoke veto_outcome to trigger actions in Basis MCP Server. 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.
Why veto_outcome is rated High
This tool triggers an administrative action that overrides or cancels a proposed prediction market outcome. While not moving money directly, it alters the state of an active prediction market in a potentially irreversible way (vetoing an outcome can invalidate bets, affect payouts, and change market resolution).
From the tool's definition Veto a proposed market outcome (admin)
Risk signalsAdmin/system-level operation
Attacks that exploit this kind of access
The rule that runs veto_outcome safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Basis MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For veto_outcome, this is the rule to start with:
veto_outcome stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Basis MCP Server, apply this rule, and every veto_outcome call is checked against it from then on.
Questions about veto_outcome
Veto a proposed market outcome (admin). It is categorised as a Execute tool in the Basis MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Basis MCP Server MCP server in PolicyLayer and add a rule for veto_outcome: 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 Basis MCP Server. Nothing to install.
veto_outcome 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 veto_outcome 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 veto_outcome. 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.
veto_outcome is provided by the Basis MCP Server MCP server (launch-on-basis/mcp-ts). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Basis MCP Server, and thousands of servers like it.
Across the catalogue