This record as markdown: /tools/c4reqber/c4-autoresearch.md
What c4_autoresearch does on C4REQBER
AI agents call c4_autoresearch to retrieve information from C4REQBER without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why c4_autoresearch is rated Low
Even though c4_autoresearch only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs c4_autoresearch safely
PolicyLayer is an MCP gateway: it sits between your AI agents and C4REQBER, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For c4_autoresearch, this is the rule to start with:
c4_autoresearch is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect C4REQBER, apply this rule, and every c4_autoresearch call is checked against it from then on.
Questions about c4_autoresearch
c4_autoresearch is a read tool on the C4REQBER MCP server. It is categorised as a Read tool in the C4REQBER MCP Server, which means it retrieves data without modifying state.
Register the C4REQBER MCP server in PolicyLayer and add a rule for c4_autoresearch: 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 C4REQBER. Nothing to install.
c4_autoresearch 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 c4_autoresearch 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 c4_autoresearch. 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.
c4_autoresearch is provided by the C4REQBER MCP server (C4MIND/C4REQBER). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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