agentdb_graph-pathfinder
Multi-algorithm native graph pathfinder (ADR-130 Phase 5). Use when agentdb_graph-query k-hop is not enough — pathfinder supports personalized-pagerank, dynamic-mincut, spectral-sparsify, temporal-centrality, connected-component-churn, and witness-chain-divergence. Prefer over prompt-level graph ...
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What agentdb_graph-pathfinder does on Hamza Agent Hub 252
AI agents call agentdb_graph-pathfinder to retrieve information from Hamza Agent Hub 252 without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why agentdb_graph-pathfinder is rated Low
The tool performs multi-algorithm graph path analysis and ranking (pathfinding, centrality, sparsification), which are read/query operations on graph data. No creation, modification, deletion, or execution of external operations is described.
From the tool's definition graph pathfinder supports personalized-pagerank, dynamic-mincut, spectral-sparsify, temporal-centrality, connected-component-churn, and witness-chain-divergence — all graph traversal and analysis algorithms
Attacks that exploit this kind of access
The rule that runs agentdb_graph-pathfinder safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Hamza Agent Hub 252, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For agentdb_graph-pathfinder, this is the rule to start with:
agentdb_graph-pathfinder is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Hamza Agent Hub 252, apply this rule, and every agentdb_graph-pathfinder call is checked against it from then on.
Questions about agentdb_graph-pathfinder
Multi-algorithm native graph pathfinder (ADR-130 Phase 5). Use when agentdb_graph-query k-hop is not enough — pathfinder supports personalized-pagerank, dynamic-mincut, spectral-sparsify, temporal-centrality, connected-component-churn, and witness-chain-divergence. Prefer over prompt-level graph loops in ruflo-knowledge-graph graph-navigator when you need ranked paths with formal complexityBudget enforcement. It is categorised as a Read tool in the Hamza Agent Hub 252 MCP Server, which means it retrieves data without modifying state.
Register the Hamza Agent Hub 252 MCP server in PolicyLayer and add a rule for agentdb_graph-pathfinder: 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 Hamza Agent Hub 252. Nothing to install.
agentdb_graph-pathfinder 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 agentdb_graph-pathfinder 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 agentdb_graph-pathfinder. 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.
agentdb_graph-pathfinder is provided by the Hamza Agent Hub 252 MCP server (hamzachallenge3-dev/hamza-agent-hub-252). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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