Medium Risk

requestHistory

List recent parse requests for a user. Returns up to 50 entries. Accepts Firebase ID token (dashboard) OR dp_ API key (programmatic). Dashboard sends Authorization: Bearer <firebase_token> with {args: [uid]}. API clients send {args: [apiKey]}. Uses Firestore structured query to filter by user_id ...

Part of the AILANG Parse server.

requestHistory can modify AILANG Parse 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 requestHistory to create or modify resources in AILANG Parse. 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 requestHistory 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 AILANG Parse.

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

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

See the full AILANG Parse policy for all 31 tools.

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These attack patterns abuse exactly the kind of access requestHistory 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 requestHistory 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 requestHistory tool do? +

List recent parse requests for a user. Returns up to 50 entries. Accepts Firebase ID token (dashboard) OR dp_ API key (programmatic). Dashboard sends Authorization: Bearer <firebase_token> with {args: [uid]}. API clients send {args: [apiKey]}. Uses Firestore structured query to filter by user_id server-side and order by timestamp descending. Only reads matching docs (not full scan).. It is categorised as a Write tool in the AILANG Parse MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on requestHistory? +

Register the AILANG Parse MCP server in PolicyLayer and add a rule for requestHistory: 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 AILANG Parse. Nothing to install.

What risk level is requestHistory? +

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

Can I rate-limit requestHistory? +

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

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

requestHistory is provided by the AILANG Parse MCP server (@ailang/parse). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every AILANG Parse tool call.

Deterministic rules across all 31 AILANG Parse tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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