Summarize an audio or video file — returns both a text summary AND the full transcript (with per-word timestamps). Do not also call transcribe on the same file. Three-call flow: (1) call with filename to receive {job_id, payment_challenge}; (2) pay via MPP, then call with job_id + payment_credent...
Risk signalsAccepts file system path (filename)
Part of the Weftly server.
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AI agents use summarize to create or modify resources in Weftly. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call summarize repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Weftly.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"summarize": {
"limits": [
{
"counter": "summarize_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Weftly policy for all 11 tools.
These attack patterns abuse exactly the kind of access summarize gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Summarize an audio or video file — returns both a text summary AND the full transcript (with per-word timestamps). Do not also call transcribe on the same file. Three-call flow: (1) call with filename to receive {job_id, payment_challenge}; (2) pay via MPP, then call with job_id + payment_credential to receive {upload_url} (presigned PUT, 1h expiry); (3) PUT the bytes, then complete_upload(job_id), then poll get_job_status(job_id). On completion, get_job_status returns three outputs: role summary (plain text), role transcript (SRT), and role transcript-words (JSON matching /.well-known/weftly-transcript-v2.schema.json, with segment-level and per-word timestamps). For other formats, pass format=srt|txt|vtt|json|words to get_job_status to receive transcript content inline — txt and vtt are derived from SRT, json is v1 (segments only), words is v2 (segments + words). Flat price: audio $0.75, video $1.25 — see /.well-known/mpp.json for the authoritative table. Use for meetings, long-form interviews, lectures, and podcast episodes; the words output additionally supports creating clips, multicamera edits, or edit-video-from-transcript. Retrying any call with job_id alone returns current state (idempotent). Failed jobs auto-refund.. It is categorised as a Write tool in the Weftly MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Weftly MCP server in PolicyLayer and add a rule for summarize: 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 Weftly. Nothing to install.
summarize is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the summarize 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 summarize. 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 is provided by the Weftly MCP server (https://api.weftly.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 11 Weftly tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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