add_context_memory
Persist key-value context for future sessions with TTL-based retention. Free.
This record as markdown: /tools/delx-witness-protocol/add-context-memory.md
What add_context_memory does on Witness Protocol
AI agents use add_context_memory to create or update resources in Witness Protocol, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Witness Protocol environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
key | string | — | Context key |
value | string | — | Context value |
ttl_hours | integer | — | Optional retention window in hours |
session_id | string | — | Your active session ID |
Parameters from the server's own tool schema.
Why add_context_memory is rated Medium
This tool writes/creates persistent data (key-value pairs) into a storage system for future retrieval. While the data is reversible (TTL-based retention means it eventually expires automatically, and likely can be deleted), it modifies application state.
From the tool's definition Tool description states 'Persist key-value context for future sessions with TTL-based retention' — the verb 'Persist' and operation of storing data indicates a write operation that creates or modifies data.
Attacks that exploit this kind of access
The rule that runs add_context_memory safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Witness Protocol, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For add_context_memory, this is the rule to start with:
add_context_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 Witness Protocol, apply this rule, and every add_context_memory call is checked against it from then on.
Questions about add_context_memory
Persist key-value context for future sessions with TTL-based retention. Free. It is categorised as a Write tool in the Witness Protocol MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
add_context_memory accepts 4 parameters: key, value, ttl_hours, session_id. The full parameter table on this page comes from the server's own tool schema.
Register the Witness Protocol MCP server in PolicyLayer and add a rule for add_context_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 Witness Protocol. Nothing to install.
add_context_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 add_context_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 add_context_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.
add_context_memory is provided by the Witness Protocol MCP server (delx/witness-protocol). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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