summarize_memory
Condense ALL entries in a namespace into a single markdown summary via local Llama 3.2 3B (free, no token cost). Optionally store the result as a new memory entry. Registered handle + secret required.
This record as markdown: /tools/com-wingmanprotocol-agent-gateway/summarize-memory.md
What summarize_memory does on Gateway
AI agents call summarize_memory to retrieve information from Gateway without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
handle | string | Yes | |
secret | string | — | |
store_as | string | — | if set, stores the summary as a memory entry with this key |
namespace | string | — | namespace to summarize, or '*' for all (default '*') |
Parameters from the server's own tool schema.
Why summarize_memory is rated Low
This is fundamentally a Read operation—it queries and aggregates existing memory entries. While it can optionally create a new entry (Write capability), the core function is condensing and presenting existing data.
From the tool's definition Tool 'summarize_memory' retrieves and condenses ALL entries in a namespace. The description emphasizes reading existing memory data ('Condense ALL entries') and optionally storing a summary, which is a secondary write.
Risk signalsHandles credentials or secrets (secret)
Attacks that exploit this kind of access
The rule that runs summarize_memory safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Gateway, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For summarize_memory, this is the rule to start with:
summarize_memory is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Gateway, apply this rule, and every summarize_memory call is checked against it from then on.
Questions about summarize_memory
Condense ALL entries in a namespace into a single markdown summary via local Llama 3.2 3B (free, no token cost). Optionally store the result as a new memory entry. Registered handle + secret required. It is categorised as a Read tool in the Gateway MCP Server, which means it retrieves data without modifying state.
summarize_memory accepts 4 parameters: handle, secret, store_as, namespace. Required: handle. The full parameter table on this page comes from the server's own tool schema.
Register the Gateway MCP server in PolicyLayer and add a rule for summarize_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 Gateway. Nothing to install.
summarize_memory is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the summarize_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 summarize_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.
summarize_memory is provided by the Gateway MCP server (https://wingmanprotocol.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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