Critical Risk →

dismissTaskDependencyReview

Per-item: clear needs_dependency_review without changing dates — keeps the edge, ignores the suggestion. Use when the successor should stay put despite the predecessor shifting.

Part of the Stable Baseline server.

dismissTaskDependencyReview can permanently delete data in Stable Baseline, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents may call dismissTaskDependencyReview to permanently remove or destroy resources in Stable Baseline. Without a policy, an autonomous agent could delete critical data in a loop with no way to undo the damage. PolicyLayer blocks destructive tools by default and requires explicit human approval before enabling them.

Without a policy, an AI agent could call dismissTaskDependencyReview in a loop, permanently destroying resources in Stable Baseline. There is no undo for destructive operations. PolicyLayer blocks this tool by default and only allows it when a human explicitly approves the action.

Destructive tools permanently remove data. Block by default. Only enable with explicit approval workflows.

policy.json
{
  "version": "1",
  "default": "deny",
  "hide": [
    "dismissTaskDependencyReview"
  ]
}

See the full Stable Baseline policy for all 184 tools.

Get this rule live on your own Stable Baseline server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access dismissTaskDependencyReview gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so dismissTaskDependencyReview only ever does what you allow.

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Other destructive tools across the catalogue. The same approach applies to each: deny by default, or require human approval.

What does the dismissTaskDependencyReview tool do? +

Per-item: clear needs_dependency_review without changing dates — keeps the edge, ignores the suggestion. Use when the successor should stay put despite the predecessor shifting.. It is categorised as a Destructive tool in the Stable Baseline MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on dismissTaskDependencyReview? +

Register the Stable Baseline MCP server in PolicyLayer and add a rule for dismissTaskDependencyReview: 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 Stable Baseline. Nothing to install.

What risk level is dismissTaskDependencyReview? +

dismissTaskDependencyReview is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit dismissTaskDependencyReview? +

Yes. Add a rate_limit block to the dismissTaskDependencyReview 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.

How do I block dismissTaskDependencyReview completely? +

Set action: deny in the PolicyLayer policy for dismissTaskDependencyReview. 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.

What MCP server provides dismissTaskDependencyReview? +

dismissTaskDependencyReview is provided by the Stable Baseline MCP server (https://api.stablebaseline.io/functions/v1/cloud-serve/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Stable Baseline tool call.

Deterministic rules across all 184 Stable Baseline tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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