Analyze the blast radius of file changes on existing beliefs. Given a list of changed files, determines which beliefs need re-verification, which may be invalidated, and the overall risk level (low/medium/high). Args: changed_files: Comma-separated list of changed file paths
AI agents call blast_radius to retrieve information from Entroly Context Engine without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs impact analysis and risk assessment on a set of changed files against internal belief state. It reads and queries the codebase context to produce informational output about potential effects, which is characteristic of Read category operations. The tool does not modify beliefs, execute code, delete data, or perform financial operations—it only analyzes and reports on what would need attention.
From the tool's definition Tool 'blast_radius' analyzes and determines which beliefs need re-verification and invalidation status, returning risk assessment.
Documented attack patterns abuse exactly the kind of access blast_radius gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Entroly Context Engine, and nothing reaches the server without passing your rules. This is the rule we recommend for blast_radius:
{
"version": "1",
"default": "deny",
"tools": {
"blast_radius": {}
}
}blast_radius is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Analyze the blast radius of file changes on existing beliefs. Given a list of changed files, determines which beliefs need re-verification, which may be invalidated, and the overall risk level (low/medium/high). Args: changed_files: Comma-separated list of changed file paths. It is categorised as a Read tool in the Entroly Context Engine MCP Server, which means it retrieves data without modifying state.
Register the Entroly Context Engine MCP server in PolicyLayer and add a rule for blast_radius: 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 Entroly Context Engine. Nothing to install.
blast_radius 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 blast_radius 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 blast_radius. 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.
blast_radius is provided by the Entroly Context Engine MCP server (juyterman1000/entroly). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Entroly Context Engine, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
52 Entroly Context Engine tools catalogued and risk-classified — across an index of 43,000+ MCP servers.