Low Risk

byte_query_fact

Query a PayPerByte fact-oracle publisher for a verified factual answer with citations. Posts the question to a registered fact-oracle publisher (topic='fact-oracle'), waits for the on-chain BroadcastStreamed response, and returns the answer plus structured citation URLs. Use for grounding LLM out...

Part of the Byte server.

byte_query_fact 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 byte_query_fact to retrieve information from Byte 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 byte_query_fact 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": {
    "byte_query_fact": {}
  }
}

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These attack patterns abuse exactly the kind of access byte_query_fact 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 byte_query_fact 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 byte_query_fact tool do? +

Query a PayPerByte fact-oracle publisher for a verified factual answer with citations. Posts the question to a registered fact-oracle publisher (topic='fact-oracle'), waits for the on-chain BroadcastStreamed response, and returns the answer plus structured citation URLs. Use for grounding LLM outputs in real-time verified information.. It is categorised as a Read tool in the Byte MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on byte_query_fact? +

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

What risk level is byte_query_fact? +

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

Can I rate-limit byte_query_fact? +

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

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

byte_query_fact is provided by the Byte MCP server (byte-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Byte tool call.

Deterministic rules across all 15 Byte tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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