suggest_edges
A other tool on the Agent Store MCP server.
This record as markdown: /tools/agent-store/suggest-edges.md
What suggest_edges does on Agent Store
AI agents call suggest_edges as a supporting operation in Agent Store workflows.
Why suggest_edges is rated Low
With no description available, I can only infer from the tool name. 'suggest_edges' likely implies suggesting connections or relationships (edges in a graph sense) between nodes/entities, which would be a Read/query-type operation. However, given the empty description, confidence is very low.
From the tool's definition Tool name is 'suggest_edges' and description is empty or uninformative.
Attacks that exploit this kind of access
The rule that runs suggest_edges safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Agent Store, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For suggest_edges, this is the rule to start with:
suggest_edges gets a rate cap, and everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Agent Store, apply this rule, and every suggest_edges call is checked against it from then on.
Questions about suggest_edges
suggest_edges is a other tool on the Agent Store MCP server. It is categorised as a Other tool in the Agent Store MCP Server, which means it performs auxiliary operations.
Register the Agent Store MCP server in PolicyLayer and add a rule for suggest_edges: 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 Agent Store. Nothing to install.
suggest_edges 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 suggest_edges 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_edges. 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_edges is provided by the Agent Store MCP server (chrisluersen/agent-store). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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