AI agents call graph_health to retrieve information from Recall without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool computes read-only analytical metrics about the graph structure (spectral gap, etc.). It does not modify, delete, or execute anything. The description is truncated but the framing is clearly observational/diagnostic. Severity is low as misuse would only expose graph topology metadata.
From the tool's definition 'Compute graph-theoretic health metrics: spectral gap (λ_2)' — the tool computes/reads metrics from the graph
Attacks that exploit this kind of access
Compute graph-theoretic health metrics: spectral gap (λ_2),. It is categorised as a Read tool in the Recall MCP Server, which means it retrieves data without modifying state.
Register the Recall MCP server in PolicyLayer and add a rule for graph_health: 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 Recall. Nothing to install.
graph_health 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 graph_health 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 graph_health. 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.
graph_health is provided by the Recall MCP server (yash194/recall). 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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