Low Risk

fetch_result_file

Get a temporary download URL for a result file from OCR/transcription output. Use this to download images referenced as frenchie-result: in the result markdown.

Risk signalsHandles credentials or secrets (api_key)

Part of the Frenchie server.

fetch_result_file 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 fetch_result_file to retrieve information from Frenchie 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 fetch_result_file 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": {
    "fetch_result_file": {}
  }
}

See the full Frenchie policy for all 7 tools.

Get this rule live on your own Frenchie 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 fetch_result_file 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 fetch_result_file 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 fetch_result_file tool do? +

Get a temporary download URL for a result file from OCR/transcription output. Use this to download images referenced as frenchie-result: in the result markdown.. It is categorised as a Read tool in the Frenchie MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on fetch_result_file? +

Register the Frenchie MCP server in PolicyLayer and add a rule for fetch_result_file: 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 Frenchie. Nothing to install.

What risk level is fetch_result_file? +

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

Can I rate-limit fetch_result_file? +

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

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

fetch_result_file is provided by the Frenchie MCP server (@lab94/frenchie). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Frenchie tool call.

Deterministic rules across all 7 Frenchie tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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