Low Risk

requestReplay

Retrieve a stored request/response pair for replay. Requires authentication: Firebase JWT or dp_ API key. The request must belong to the authenticated user (user_id match). Accepts optional outputFormat (blocks/markdown/html/a2ui) to re-render the stored blocks server-side using the ailang_parse ...

Part of the AILANG Parse server.

requestReplay is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call requestReplay to retrieve information from AILANG Parse without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though requestReplay only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "requestReplay": {}
  }
}

See the full AILANG Parse policy for all 31 tools.

Get this rule live on your own AILANG Parse 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 requestReplay 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 requestReplay only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the requestReplay tool do? +

Retrieve a stored request/response pair for replay. Requires authentication: Firebase JWT or dp_ API key. The request must belong to the authenticated user (user_id match). Accepts optional outputFormat (blocks/markdown/html/a2ui) to re-render the stored blocks server-side using the ailang_parse pipeline.. It is categorised as a Read tool in the AILANG Parse MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on requestReplay? +

Register the AILANG Parse MCP server in PolicyLayer and add a rule for requestReplay: 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 requestReplay? +

requestReplay is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit requestReplay? +

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

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

requestReplay 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.

Free to start. No card required.

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

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