Reject a pending field proposal with a required reason. Story field is unchanged; reason is captured for agent learning + audit.
Part of the Elixium Ai server.
Free to start. No card required.
AI agents use reject_proposal to create or modify resources in Elixium Ai. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call reject_proposal repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Elixium Ai.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"reject_proposal": {
"limits": [
{
"counter": "reject_proposal_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Elixium Ai policy for all 43 tools.
These attack patterns abuse exactly the kind of access reject_proposal gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Reject a pending field proposal with a required reason. Story field is unchanged; reason is captured for agent learning + audit.. It is categorised as a Write tool in the Elixium Ai MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Elixium Ai MCP server in PolicyLayer and add a rule for reject_proposal: 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 Elixium Ai. Nothing to install.
reject_proposal 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 reject_proposal 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 reject_proposal. 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.
reject_proposal is provided by the Elixium Ai MCP server (@elixium.ai/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 43 Elixium Ai tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.