log_accomplishment

Log something the user accomplished.

SERVERCoach AI SOURCE94aharris/coach-ai

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/94aharris-coach-ai/log-accomplishment.md

WHAT IT DOES

What log_accomplishment does on Coach AI

AI agents use log_accomplishment to create or update resources in Coach AI, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Coach AI environment.

RISK

Why log_accomplishment is rated Medium

This tool creates or appends records of user accomplishments in the persistent memory system. It is a write operation that records user data (similar to sibling tools like add_daily_note_section, add_task_context, add_todo, add_user_fact) without destructive capability.

From the tool's definition Tool name 'log_accomplishment' and description 'Log something the user accomplished' indicate a record-creation or data-recording operation. The verb 'log' typically means to record or write data.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs log_accomplishment safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Coach AI, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For log_accomplishment, this is the rule to start with:

log_accomplishment Rate-limited

log_accomplishment 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "log_accomplishment": {
      "limits": [
        {
          "counter": "log_accomplishment_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Coach AI, apply this rule, and every log_accomplishment call is checked against it from then on.

FAQ

Questions about log_accomplishment

What does the log_accomplishment tool do? +

Log something the user accomplished. It is categorised as a Write tool in the Coach AI MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on log_accomplishment? +

Register the Coach AI MCP server in PolicyLayer and add a rule for log_accomplishment: 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 Coach AI. Nothing to install.

What risk level is log_accomplishment? +

log_accomplishment is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit log_accomplishment? +

Yes. Add a rate_limit block to the log_accomplishment 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.

How do I block log_accomplishment completely? +

Set action: deny in the PolicyLayer policy for log_accomplishment. 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.

What MCP server provides log_accomplishment? +

log_accomplishment is provided by the Coach AI MCP server (94aharris/coach-ai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Coach AI, and thousands of servers like it.

This server

All 28 Coach AI tools →

Across the catalogue

The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →