This record as markdown: /tools/kh0pper-crow/crow-update-memory.md
What crow_update_memory does on Crow
AI agents use crow_update_memory to create or update resources in Crow, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Crow environment.
Why crow_update_memory is rated Medium
This tool creates or modifies data in a reversible manner (Write category). The severity is medium because updating project memory could affect project state and AI assistant behavior, but the action is reversible—corrupted memories could theoretically be corrected or restored.
From the tool's definition Tool name 'crow_update_memory' and description 'Update an existing memory' indicate modification of stored data. The verb 'update' is a classic write operation that modifies data reversibly.
Attacks that exploit this kind of access
The rule that runs crow_update_memory safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Crow, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For crow_update_memory, this is the rule to start with:
crow_update_memory 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 Crow, apply this rule, and every crow_update_memory call is checked against it from then on.
Questions about crow_update_memory
Update an existing memory. It is categorised as a Write tool in the Crow MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Crow MCP server in PolicyLayer and add a rule for crow_update_memory: 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 Crow. Nothing to install.
crow_update_memory 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 crow_update_memory 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 crow_update_memory. 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.
crow_update_memory is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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