approve_instance_task
Approve a browser runtime task waiting for human approval. Cannot approve a connector call held back by the per-call approval gate — those are approved by a person in the console, which is the whole point of that gate.
This record as markdown: /tools/io-github-proagentstore-platform/approve-instance-task.md
What approve_instance_task does on ProAgentStore
AI agents invoke approve_instance_task to trigger actions in ProAgentStore. 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 approve_instance_task is rated High
Approving a pending browser runtime task triggers external execution previously gated on human review.
From the tool's definition Approve a browser runtime task waiting for human approval
Attacks that exploit this kind of access
The rule that runs approve_instance_task safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ProAgentStore, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For approve_instance_task, this is the rule to start with:
approve_instance_task 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 ProAgentStore, apply this rule, and every approve_instance_task call is checked against it from then on.
Questions about approve_instance_task
Approve a browser runtime task waiting for human approval. Cannot approve a connector call held back by the per-call approval gate — those are approved by a person in the console, which is the whole point of that gate. It is categorised as a Execute tool in the ProAgentStore MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the ProAgentStore MCP server in PolicyLayer and add a rule for approve_instance_task: 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 ProAgentStore. Nothing to install.
approve_instance_task 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 approve_instance_task 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 approve_instance_task. 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.
approve_instance_task is provided by the ProAgentStore MCP server (https://mcp.proagentstore.online/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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