AI agents invoke bounded_answer to trigger actions in Recall. 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.
This tool executes a generation operation using the Recall memory graph to produce bounded answers. It's not a simple read/query — it actively processes and generates output by running logic against stored memory. Since the description is vague, confidence is moderate, but 'Generate' implies an Execute-class operation rather than a passive retrieval.
From the tool's definition 'Generate an answer bounded by Recall' — triggers a generation/execution process using the memory graph
Attacks that exploit this kind of access
Generate an answer bounded by Recall. It is categorised as a Execute tool in the Recall MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Recall MCP server in PolicyLayer and add a rule for bounded_answer: 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.
bounded_answer 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 bounded_answer 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 bounded_answer. 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.
bounded_answer 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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