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observe_tool_error

v2.1.0 \u2014 Record failure with an error message. No-op on unknown callId.

SERVEREnhanced Knowledge Graph Memory Server SOURCEdanielsimonjr/memory-mcp
Medium RISK CLASS
Category Write
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/danielsimonjr-memory-mcp/observe-tool-error.md

What observe_tool_error does on Enhanced Knowledge Graph Memory Server

AI agents use observe_tool_error 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 observe_tool_error is rated Medium

The tool writes/records an error event associated with a call ID into the knowledge graph. It creates or modifies data (an error record) but is reversible and limited in blast radius. The 'No-op on unknown callId' clause limits misuse potential. Severity is low since it only logs error metadata and has no destructive capability.

From the tool's definition Record failure with an error message. No-op on unknown callId.

Questions about observe_tool_error

What does the observe_tool_error tool do? +

v2.1.0 \u2014 Record failure with an error message. No-op on unknown callId. 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.

How do I enforce a policy on observe_tool_error? +

Register the Enhanced Knowledge Graph Memory Server MCP server in PolicyLayer and add a rule for observe_tool_error: 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.

What risk level is observe_tool_error? +

observe_tool_error is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit observe_tool_error? +

Yes. Add a rate_limit block to the observe_tool_error 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.

How do I block observe_tool_error completely? +

Set action: deny in the PolicyLayer policy for observe_tool_error. 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.

What MCP server provides observe_tool_error? +

observe_tool_error 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.

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