High Risk →

parse_image_text

Perform OCR on images to extract text with confidence scores. Supports screenshots, scanned documents, photos of text. Returns structured text with confidence metrics. Essential for agents processing visual content.

Part of the Document Parser MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents invoke parse_image_text to trigger processes or run actions in Document Parser. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

parse_image_text can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

io-github-agenson-horrowitz-document-parser.yaml
tools:
  parse_image_text:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Document Parser policy for all 5 tools.

Tool Name parse_image_text
Category Execute
Risk Level High

Agents calling execute-class tools like parse_image_text have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

parse_image_text is one of the high-risk operations in Document Parser. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.

What does the parse_image_text tool do? +

Perform OCR on images to extract text with confidence scores. Supports screenshots, scanned documents, photos of text. Returns structured text with confidence metrics. Essential for agents processing visual content.. It is categorised as a Execute tool in the Document Parser MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on parse_image_text? +

Add a rule in your Intercept YAML policy under the tools section for parse_image_text. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Document Parser MCP server.

What risk level is parse_image_text? +

parse_image_text is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit parse_image_text? +

Yes. Add a rate_limit block to the parse_image_text 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.

How do I block parse_image_text completely? +

Set action: deny in the Intercept policy for parse_image_text. 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 parse_image_text? +

parse_image_text is provided by the Document Parser MCP server (@agenson-horrowitz/document-parser-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Document Parser

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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