Low Risk

extract_content

Extract text and structured sections from a file (PDF, DOCX, PPTX, XLSX, CSV, TXT, MD, HTML, EML). Returns the same ExtractionResult shape as extract_url: title, sections (as content items), full text, and diagnostics. Any agent can use this \u2014 no browser needed. Accepts a file URL (HTTP/HTTP...

Part of the AIR SDK server.

extract_content 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 extract_content to retrieve information from AIR SDK 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 extract_content 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": {
    "extract_content": {}
  }
}

See the full AIR SDK policy for all 5 tools.

Get this rule live on your own AIR SDK server in minutes. PolicyLayer enforces it on every call, before it runs.

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

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so extract_content 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 extract_content tool do? +

Extract text and structured sections from a file (PDF, DOCX, PPTX, XLSX, CSV, TXT, MD, HTML, EML). Returns the same ExtractionResult shape as extract_url: title, sections (as content items), full text, and diagnostics. Any agent can use this \u2014 no browser needed. Accepts a file URL (HTTP/HTTPS) which will be fetched and uploaded, or a local file path for desktop agents. Use this for document import pipelines: extract_content \u2192 research_import.. It is categorised as a Read tool in the AIR SDK MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on extract_content? +

Register the AIR SDK MCP server in PolicyLayer and add a rule for extract_content: 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 AIR SDK. Nothing to install.

What risk level is extract_content? +

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

Can I rate-limit extract_content? +

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

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

extract_content is provided by the AIR SDK MCP server (@arcede/air-sdk). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every AIR SDK tool call.

Deterministic rules across all 5 AIR SDK tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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