Low Risk

ask_venuvidya

Ask VenuVidya — the in-app RAG chatbot. Returns a grounded answer + citations. Args: question: Student question (2-1500 chars). level: Optional level filter for retrieval ('junior' | 'senior' | 'vidwat'). language: 'en', 'kn' or 'auto'.

Part of the Venuvidya server.

ask_venuvidya 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 ask_venuvidya to retrieve information from Venuvidya 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 ask_venuvidya 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": {
    "ask_venuvidya": {}
  }
}

See the full Venuvidya policy for all 7 tools.

Get this rule live on your own Venuvidya 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 ask_venuvidya 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 ask_venuvidya 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 ask_venuvidya tool do? +

Ask VenuVidya — the in-app RAG chatbot. Returns a grounded answer + citations. Args: question: Student question (2-1500 chars). level: Optional level filter for retrieval ('junior' | 'senior' | 'vidwat'). language: 'en', 'kn' or 'auto'.. It is categorised as a Read tool in the Venuvidya MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on ask_venuvidya? +

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

What risk level is ask_venuvidya? +

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

Can I rate-limit ask_venuvidya? +

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

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

ask_venuvidya is provided by the Venuvidya MCP server (https://venuvidya-backend-production.up.railway.app/api/mcp/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Venuvidya tool call.

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

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