Route a task via AgentDB SemanticRouter or LearningSystem recommendAlgorithm Use when generic memory_* tools are wrong because you need AgentDB-specific controllers (HNSW vector search, hierarchical tiers, causal-graph links, pattern store/recall, RaBitQ quantization). For simple key-value persis...
AI agents invoke agentdb_route to trigger actions in Claude Flow. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
The tool triggers execution of routing and recommendation logic (SemanticRouter, LearningSystem.recommendAlgorithm) within AgentDB, which involves active computation and dispatching of tasks to controllers. It is not a simple read or write — it invokes dynamic algorithmic systems whose effects depend on arguments.
From the tool's definition 'Route a task via AgentDB SemanticRouter or LearningSystem recommendAlgorithm' and references to 'HNSW vector search, hierarchical tiers, causal-graph links, pattern store/recall, RaBitQ quantization'
Attacks that exploit this kind of access
Route a task via AgentDB SemanticRouter or LearningSystem recommendAlgorithm Use when generic memory_* tools are wrong because you need AgentDB-specific controllers (HNSW vector search, hierarchical tiers, causal-graph links, pattern store/recall, RaBitQ quantization). For simple key-value persistence, memory_store/memory_retrieve are simpler. For unrelated file work, native Read/Write are fine. It is categorised as a Execute tool in the Claude Flow MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Claude Flow MCP server in PolicyLayer and add a rule for agentdb_route: 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 Claude Flow. Nothing to install.
agentdb_route is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the agentdb_route 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_route. 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_route is provided by the Claude Flow MCP server (claude-flow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.