trim_video
POST /v5/tools/trim_video. Current Bannerbear V5 operation; provider scopes, locks and credits apply. Mandatory confirmation before provider execution; one submission only.
This record as markdown: /tools/thenavidm-bannerbear-mcp-cli/trim-video.md
What trim_video does on Bannerbear Mcp Cli
AI agents call trim_video to retrieve information from Bannerbear Mcp Cli without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
account | string | — | Exact private workspace profile label; no fallback to another profile key. |
confirm | boolean | — | Set true only when the user asked for exactly this action. |
payload | object | — | Complete current native JSON body. Use payload or payload_file exclusively. |
payload_file | string | — | Regular non-symlink local JSON file, at most 1 MiB. |
Parameters from the server's own tool schema.
Why trim_video is rated Low
Even though trim_video only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Risk signalsAccepts raw HTML/template content (payload)
Attacks that exploit this kind of access
The rule that runs trim_video safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Bannerbear Mcp Cli, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For trim_video, this is the rule to start with:
trim_video is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Bannerbear Mcp Cli, apply this rule, and every trim_video call is checked against it from then on.
Questions about trim_video
POST /v5/tools/trim_video. Current Bannerbear V5 operation; provider scopes, locks and credits apply. Mandatory confirmation before provider execution; one submission only. It is categorised as a Read tool in the Bannerbear Mcp Cli MCP Server, which means it retrieves data without modifying state.
trim_video accepts 4 parameters: account, confirm, payload, payload_file. The full parameter table on this page comes from the server's own tool schema.
Register the Bannerbear Mcp Cli MCP server in PolicyLayer and add a rule for trim_video: 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 Bannerbear Mcp Cli. Nothing to install.
trim_video 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 trim_video 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 trim_video. 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.
trim_video is provided by the Bannerbear Mcp Cli MCP server (@thenavidm/bannerbear-mcp-cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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