This record as markdown: /tools/94aharris-coach-ai/parse-task-list.md
What parse_task_list does on Coach AI
AI agents invoke parse_task_list to trigger actions in Coach AI. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why parse_task_list is rated High
parse_task_list triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
The rule that runs parse_task_list 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 parse_task_list, this is the rule to start with:
parse_task_list stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Coach AI, apply this rule, and every parse_task_list call is checked against it from then on.
Questions about parse_task_list
parse_task_list is a execute tool on the Coach AI MCP server. It is categorised as a Execute tool in the Coach AI MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Coach AI MCP server in PolicyLayer and add a rule for parse_task_list: 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.
parse_task_list is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the parse_task_list 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 parse_task_list. 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.
parse_task_list 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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