Summarize a video chapter by chapter. Returns structured summaries for each section/chapter of the video.
Accepts URL/endpoint input (url)
Part of the Video Summarizer MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call summarize_by_chapter to retrieve information from Video Summarizer 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 summarize_by_chapter 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.
tools:
summarize_by_chapter:
rules:
- action: allowSee the full Video Summarizer policy for all 6 tools.
Agents calling read-class tools like summarize_by_chapter have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.
Summarize a video chapter by chapter. Returns structured summaries for each section/chapter of the video.. It is categorised as a Read tool in the Video Summarizer MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for summarize_by_chapter. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Video Summarizer MCP server.
summarize_by_chapter 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 summarize_by_chapter rule in your Intercept 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 Intercept policy for summarize_by_chapter. 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.
summarize_by_chapter is provided by the Video Summarizer MCP server (bibigpt/video-summarizer). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept