Low Risk

courtlistener_get_oral_argument

Fetch the full detail record for a single oral argument audio recording by its ID (the audio_id from courtlistener_search_oral_arguments). Returns the case name, panel judge IDs, duration, MP3 download URL, linked docket, and the speech-to-text transcript when transcription has completed. The arg...

Part of the Courtlistener Mcp Server server.

courtlistener_get_oral_argument 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 courtlistener_get_oral_argument to retrieve information from Courtlistener Mcp Server 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 courtlistener_get_oral_argument 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": {
    "courtlistener_get_oral_argument": {}
  }
}

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

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so courtlistener_get_oral_argument 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 courtlistener_get_oral_argument tool do? +

Fetch the full detail record for a single oral argument audio recording by its ID (the audio_id from courtlistener_search_oral_arguments). Returns the case name, panel judge IDs, duration, MP3 download URL, linked docket, and the speech-to-text transcript when transcription has completed. The argument date is not on this record — it comes from the search result or the linked docket.. It is categorised as a Read tool in the Courtlistener Mcp Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on courtlistener_get_oral_argument? +

Register the Courtlistener Mcp Server MCP server in PolicyLayer and add a rule for courtlistener_get_oral_argument: 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 Courtlistener Mcp Server. Nothing to install.

What risk level is courtlistener_get_oral_argument? +

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

Can I rate-limit courtlistener_get_oral_argument? +

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

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

courtlistener_get_oral_argument is provided by the Courtlistener Mcp Server MCP server (@cyanheads/courtlistener-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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