AI agents call firepass_researcher as a supporting operation in Firepass workflows.
With no description available, classification is highly uncertain. The name 'researcher' suggests a Read category (querying or searching information), but given the server context includes shell commands and file operations, it could be Execute or higher. Defaulting to Other with low confidence due to lack of evidence. Severity set to medium as a precaution given the server's agentic coding assistant context.
From the tool's definition Tool description is empty and uninformative. Tool name 'firepass_researcher' suggests a research/read function, but cannot be confirmed.
Attacks that exploit this kind of access
firepass_researcher. It is categorised as a Other tool in the Firepass MCP Server, which means it performs auxiliary operations.
Register the Firepass MCP server in PolicyLayer and add a rule for firepass_researcher: 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 Firepass. Nothing to install.
firepass_researcher is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the firepass_researcher 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 firepass_researcher. 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.
firepass_researcher is provided by the Firepass MCP server (jameshgrn/firepass-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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