suggest_next
AI agents call suggest_next to retrieve information from TempoGraph without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Based on the tool name and server purpose (code analysis/context), 'suggest_next' most likely suggests subsequent code patterns, dependencies, or architectural elements—a read-only operation. However, confidence is moderate because the empty description leaves ambiguity about whether it might execute analysis or generate code.
From the tool's definition Tool name 'suggest_next' and context of a code graph engine suggest retrieval or analysis of code context. The empty description prevents direct evidence of the actual function.
Attacks that exploit this kind of access
suggest_next. It is categorised as a Read tool in the TempoGraph MCP Server, which means it retrieves data without modifying state.
Register the TempoGraph MCP server in PolicyLayer and add a rule for suggest_next: 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 TempoGraph. Nothing to install.
suggest_next 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 suggest_next 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 suggest_next. 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.
suggest_next is provided by the TempoGraph MCP server (tempograph). 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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