View previously created clips to avoid duplicates. Check before creating new clips.
AI agents call clip_history to retrieve information from Podcli without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves historical clip data for informational purposes only. It enables checking and avoiding duplicates but does not create, modify, delete, or execute any operations. It is purely a data read operation with minimal risk.
From the tool's definition Tool description states 'View previously created clips' which indicates data retrieval with no modification. The purpose is to 'Check before creating new clips' — a query operation with no side effects.
Documented attack patterns abuse exactly the kind of access clip_history gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Podcli, and nothing reaches the server without passing your rules. This is the rule we recommend for clip_history:
{
"version": "1",
"default": "deny",
"tools": {
"clip_history": {}
}
} clip_history is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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View previously created clips to avoid duplicates. Check before creating new clips. It is categorised as a Read tool in the Podcli MCP Server, which means it retrieves data without modifying state.
Register the Podcli MCP server in PolicyLayer and add a rule for clip_history: 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 Podcli. Nothing to install.
clip_history is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the clip_history 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.
Set action: deny in the PolicyLayer policy for clip_history. 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.
clip_history is provided by the Podcli MCP server (nmbrthirteen/podcli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Podcli, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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17 Podcli tools catalogued and risk-classified — across an index of 43,000+ MCP servers.