拒绝任务执行
AI agents use cron_reject to create or update resources in MCP Cron Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Cron Server environment.
This tool reversibly modifies the state of a scheduled cron task by rejecting it (likely marking it as denied or unapproved), similar to how 'cron_approve' would mark it approved. This is Write-category because the effect is reversible (a rejected task can typically be re-approved or resubmitted), and it does not execute code or destructively delete data.
From the tool's definition Tool name 'cron_reject' and description '拒绝任务执行' (reject/deny task execution) indicate modification of scheduled task state.
Attacks that exploit this kind of access
拒绝任务执行. It is categorised as a Write tool in the MCP Cron Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP Cron Server MCP server in PolicyLayer and add a rule for cron_reject: 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 MCP Cron Server. Nothing to install.
cron_reject 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 cron_reject 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 cron_reject. 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.
cron_reject is provided by the MCP Cron Server MCP server (nolan57/opencode-mcp-cron). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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