update_coach_memory
AI agents use update_coach_memory to create or update resources in MCPacer — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCPacer environment.
The 'update_' prefix indicates a modification operation rather than retrieval or deletion. Given the coaching context and sibling Write tools, this likely creates or modifies coaching memory/state reversibly.
From the tool's definition Tool name 'update_coach_memory' indicates modification of stored coaching data. Sibling tools include 'add_coaching_feedback', 'add_plan_comment', 'add_plan_run', 'add_run_note', and 'clear_body_highlights', all of which are Write operations that create or…
Documented attack patterns abuse exactly the kind of access update_coach_memory gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCPacer, and nothing reaches the server without passing your rules. This is the rule we recommend for update_coach_memory:
{
"version": "1",
"default": "deny",
"tools": {
"update_coach_memory": {
"limits": [
{
"counter": "update_coach_memory_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_coach_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.
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update_coach_memory. It is categorised as a Write tool in the MCPacer MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCPacer MCP server in PolicyLayer and add a rule for update_coach_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 MCPacer. Nothing to install.
update_coach_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 update_coach_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 update_coach_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.
update_coach_memory is provided by the MCPacer MCP server (wernerpe/mcpacer). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCPacer, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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32 MCPacer tools catalogued and risk-classified — across an index of 43,000+ MCP servers.