record_tool_outcome
v2.1.0 \u2014 Record a single tool-call outcome directly via ToolAffordanceManager (bypasses ToolCallObserver). Creates the record on first call; appends to rolling window on subsequent. Throws
This record as markdown: /tools/danielsimonjr-memory-mcp/record-tool-outcome.md
What record_tool_outcome does on Enhanced Knowledge Graph Memory Server
AI agents use record_tool_outcome to create or update resources in Enhanced Knowledge Graph Memory Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Enhanced Knowledge Graph Memory Server environment.
Why record_tool_outcome is rated Medium
This tool writes/appends outcome records to a persistent store (knowledge graph memory). It creates new entries or appends to existing rolling windows, which is a reversible write operation. It does not execute code, delete data, or involve financial transactions.
From the tool's definition 'Record a single tool-call outcome', 'Creates the record on first call; appends to rolling window on subsequent'
Attacks that exploit this kind of access
The rule that runs record_tool_outcome safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Enhanced Knowledge Graph Memory Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For record_tool_outcome, this is the rule to start with:
record_tool_outcome stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Enhanced Knowledge Graph Memory Server, apply this rule, and every record_tool_outcome call is checked against it from then on.
Questions about record_tool_outcome
v2.1.0 \u2014 Record a single tool-call outcome directly via ToolAffordanceManager (bypasses ToolCallObserver). Creates the record on first call; appends to rolling window on subsequent. Throws. It is categorised as a Write tool in the Enhanced Knowledge Graph Memory Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Enhanced Knowledge Graph Memory Server MCP server in PolicyLayer and add a rule for record_tool_outcome: 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 Enhanced Knowledge Graph Memory Server. Nothing to install.
record_tool_outcome is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the record_tool_outcome 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 record_tool_outcome. 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.
record_tool_outcome is provided by the Enhanced Knowledge Graph Memory Server MCP server (danielsimonjr/memory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Enhanced Knowledge Graph Memory Server, and thousands of servers like it.
Across the catalogue