The main research question you want to answer
Part of the Signal Relay server.
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AI agents call research_question to retrieve information from Signal Relay 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 research_question 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.
{
"version": "1",
"default": "deny",
"tools": {
"research_question": {}
}
}See the full Signal Relay policy for all 30 tools.
These attack patterns abuse exactly the kind of access research_question gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
The main research question you want to answer. It is categorised as a Read tool in the Signal Relay MCP Server, which means it retrieves data without modifying state.
Register the Signal Relay MCP server in PolicyLayer and add a rule for research_question: 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 Signal Relay. Nothing to install.
research_question is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the research_question 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.
Set action: deny in the PolicyLayer policy for research_question. 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.
research_question is provided by the Signal Relay MCP server (SocioLogicAI/signal-relay). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 30 Signal Relay tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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