memory_usage
Manage coordination memory (V2 compatible). Deprecated: Use memory/store, memory/search, or memory/list instead.
This record as markdown: /tools/hamza-agent-hub-252/memory-usage.md
What memory_usage does on Hamza Agent Hub 252
AI agents use memory_usage to create or update resources in Hamza Agent Hub 252, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Hamza Agent Hub 252 environment.
Why memory_usage is rated Medium
The tool 'manages' memory, which implies read and write capabilities. The deprecation notice references both 'memory/store' (Write) and 'memory/search' / 'memory/list' (Read), suggesting this tool spans both. Since 'manage' and 'store' imply write/create operations, Write is the most appropriate category. Confidence is moderate because the description is vague and deprecated, making exact behavior unclear.
From the tool's definition Manage coordination memory (V2 compatible). Deprecated: Use memory/store, memory/search, or memory/list instead.
Attacks that exploit this kind of access
The rule that runs memory_usage safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Hamza Agent Hub 252, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For memory_usage, this is the rule to start with:
memory_usage 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 Hamza Agent Hub 252, apply this rule, and every memory_usage call is checked against it from then on.
Questions about memory_usage
Manage coordination memory (V2 compatible). Deprecated: Use memory/store, memory/search, or memory/list instead. It is categorised as a Write tool in the Hamza Agent Hub 252 MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Hamza Agent Hub 252 MCP server in PolicyLayer and add a rule for memory_usage: 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 Hamza Agent Hub 252. Nothing to install.
memory_usage 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 memory_usage 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 memory_usage. 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.
memory_usage is provided by the Hamza Agent Hub 252 MCP server (hamzachallenge3-dev/hamza-agent-hub-252). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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