This record as markdown: /tools/ashlesh-t-cognirepo/record-error.md
What record_error does on CogniRepo
AI agents use record_error to create or update resources in CogniRepo, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your CogniRepo environment.
Why record_error is rated Medium
The name 'record_error' implies creating or storing an error entry in persistent memory or knowledge graph (consistent with the server's purpose of persistent memory and context). This is likely a Write operation. However, the empty description significantly lowers confidence.
From the tool's definition Tool name 'record_error' suggests writing/storing an error record; description is empty and uninformative.
Attacks that exploit this kind of access
The rule that runs record_error safely
PolicyLayer is an MCP gateway: it sits between your AI agents and CogniRepo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For record_error, this is the rule to start with:
record_error 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 CogniRepo, apply this rule, and every record_error call is checked against it from then on.
Questions about record_error
record_error is a write tool on the CogniRepo MCP server. It is categorised as a Write tool in the CogniRepo MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the CogniRepo MCP server in PolicyLayer and add a rule for record_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 CogniRepo. Nothing to install.
record_error 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_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.
Set action: deny in the PolicyLayer policy for record_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.
record_error is provided by the CogniRepo MCP server (pypi:cognirepo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on CogniRepo, and thousands of servers like it.
This server
Across the catalogue