Medium Risk

reject_suggestion

Reject a staged suggestion: archives the patch + meta under _archive/rejected/ and emits a chain event. Canonical document and hash chain head are untouched. Rejection reason is required for audit trail.

Risk signalsAccepts file system path (path)

Part of the Contextnest server.

reject_suggestion can modify Contextnest data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use reject_suggestion to create or modify resources in Contextnest. 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_suggestion 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 Contextnest.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "reject_suggestion": {
      "limits": [
        {
          "counter": "reject_suggestion_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Contextnest policy for all 19 tools.

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

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View all 19 tools →

These attack patterns abuse exactly the kind of access reject_suggestion 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 reject_suggestion only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the reject_suggestion tool do? +

Reject a staged suggestion: archives the patch + meta under _archive/rejected/ and emits a chain event. Canonical document and hash chain head are untouched. Rejection reason is required for audit trail.. It is categorised as a Write tool in the Contextnest MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on reject_suggestion? +

Register the Contextnest MCP server in PolicyLayer and add a rule for reject_suggestion: 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 Contextnest. Nothing to install.

What risk level is reject_suggestion? +

reject_suggestion is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit reject_suggestion? +

Yes. Add a rate_limit block to the reject_suggestion 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 reject_suggestion completely? +

Set action: deny in the PolicyLayer policy for reject_suggestion. 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 reject_suggestion? +

reject_suggestion is provided by the Contextnest MCP server (@promptowl/contextnest-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Contextnest tool call.

Deterministic rules across all 19 Contextnest tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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