Low Risk

get_job_status

Check the status of a transcribe or summarize job. Returns the current state and, when completed, an outputs array. Each output has either content (returned inline) or a presigned, time-limited (1 hour) download_url. Small text outputs (e.g. transcript SRT, clip-candidates, summary) come inline a...

Part of the Weftly server.

get_job_status is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call get_job_status to retrieve information from Weftly 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 get_job_status 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.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_job_status": {}
  }
}

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These attack patterns abuse exactly the kind of access get_job_status gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so get_job_status only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the get_job_status tool do? +

Check the status of a transcribe or summarize job. Returns the current state and, when completed, an outputs array. Each output has either content (returned inline) or a presigned, time-limited (1 hour) download_url. Small text outputs (e.g. transcript SRT, clip-candidates, summary) come inline as content; larger outputs — transcript-words JSON for any non-trivial recording, plus video outputs like clip-video / clip-vertical-video — come as a download_url to fetch when needed. Optionally pass format (srt, txt, vtt, json, words) to get the transcript content inline in the top-level transcript field — txt and vtt are derived from the stored SRT; json is v1 (segments only); words is v2 (segments + per-word timestamps matching /.well-known/weftly-transcript-v2.schema.json). Poll this periodically after calling complete_upload — wait at least 60 seconds between checks. For files under 10 minutes, jobs usually complete within 1-2 minutes. For long files (1hr+), expect 10-30 minutes. Also use this to recover from lost state: if the original challenge was lost, call get_job_status(job_id) to retrieve a fresh challenge (status "awaiting_payment") or the upload URL (status "awaiting_upload").. It is categorised as a Read tool in the Weftly MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_job_status? +

Register the Weftly MCP server in PolicyLayer and add a rule for get_job_status: 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.

What risk level is get_job_status? +

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

Can I rate-limit get_job_status? +

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

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

get_job_status 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.

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