analyze_energy

Analyze audio energy levels for a video or specific segments. Useful for finding high-energy moments. Defaults to the current UI video and suggestions if not specified.

ServerPodcli
CategoryRead

How to control analyze_energy ↓

WHAT IT DOES

What analyze_energy does on Podcli

AI agents call analyze_energy 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.

THE RISK

Low Risk

Why analyze_energy needs a policy

This tool retrieves and analyzes metadata about audio energy levels from existing media. It has no side effects—it does not create, modify, delete, or execute operations. The analysis is informational only, supporting the podcast clipping workflow by identifying temporal moments of interest. Confidence is high as the description clearly indicates a read-only analytical operation.

From the tool's definition Tool 'analyze_energy' performs audio analysis to 'find high-energy moments' with no mention of modification, deletion, or execution of external commands. It reads/analyzes existing data from video or segments.

Documented attack patterns abuse exactly the kind of access analyze_energy gives an agent:

POLICY

How to control analyze_energy

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 analyze_energy:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "analyze_energy": {}
  }
}

analyze_energy is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Podcli — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

Related tools and policies

More Podcli tools

Execute parse_transcript Parse a raw speaker-labeled plain text transcript into word-level timestamps. Input format Execute batch_create_clips STEP 3 — Export multiple clips at once as finished vertical shorts.\n\n Execute transcribe_podcast STEP 1 — Transcribe a podcast video/audio file. This is typically the first tool you call. Write create_clip STEP 3 — Export a single clip as a finished vertical short (1080x1920, 9:16).\n\n Write import_transcript Import an external transcript (e.g. from a transcription service) into the UI. Skips Whisp Write knowledge_base Read or manage the podcli knowledge base. These are .md files that provide context about t Write manage_assets Register and manage reusable assets (logos, videos). Registered assets can be referenced b Write manage_presets Save, load, list, or delete rendering presets. Presets store caption_style, crop_strategy,

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about analyze_energy

What does the analyze_energy tool do? +

Analyze audio energy levels for a video or specific segments. Useful for finding high-energy moments. Defaults to the current UI video and suggestions if not specified. It is categorised as a Read tool in the Podcli MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_energy? +

Register the Podcli MCP server in PolicyLayer and add a rule for analyze_energy: 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.

What risk level is analyze_energy? +

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

Can I rate-limit analyze_energy? +

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

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

analyze_energy 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.

Enforce policy on every Podcli tool call.

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.