add_task_context

Add context note to task (where left off, why doing it, etc).

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/add-task-context.md

WHAT IT DOES

What add_task_context does on Coach AI

AI agents use add_task_context 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 add_task_context is rated Medium

This tool creates or modifies task metadata reversibly. While it doesn't delete or execute external operations, it does alter stored task information. The severity is medium because misuse could clutter tasks with misleading context or spam notes, but the changes are easily editable or removable.

From the tool's definition add_task_context modifies task data by adding contextual notes. The tool name indicates it 'adds' content to tasks, and the description specifies it appends context notes (where left off, why doing it, etc.) to existing tasks, which is a reversible…

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs add_task_context 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 add_task_context, this is the rule to start with:

add_task_context Rate-limited

add_task_context 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": {
    "add_task_context": {
      "limits": [
        {
          "counter": "add_task_context_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 add_task_context call is checked against it from then on.

FAQ

Questions about add_task_context

What does the add_task_context tool do? +

Add context note to task (where left off, why doing it, etc). 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 add_task_context? +

Register the Coach AI MCP server in PolicyLayer and add a rule for add_task_context: 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 add_task_context? +

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

Can I rate-limit add_task_context? +

Yes. Add a rate_limit block to the add_task_context 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 add_task_context completely? +

Set action: deny in the PolicyLayer policy for add_task_context. 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 add_task_context? +

add_task_context 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.

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