collab_task_review
A distinct active session accepts or requests changes. Acceptance is local coordination review—not merge, deploy, truth, or external authority.
This record as markdown: /tools/dev-agenttool-agenttool/collab-task-review.md
What collab_task_review does on Agenttool
AI agents invoke collab_task_review to trigger actions in Agenttool. 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 collab_task_review is rated High
collab_task_review 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 collab_task_review safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Agenttool, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For collab_task_review, this is the rule to start with:
collab_task_review 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 Agenttool, apply this rule, and every collab_task_review call is checked against it from then on.
Questions about collab_task_review
A distinct active session accepts or requests changes. Acceptance is local coordination review—not merge, deploy, truth, or external authority. It is categorised as a Execute tool in the Agenttool MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Agenttool MCP server in PolicyLayer and add a rule for collab_task_review: 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 Agenttool. Nothing to install.
collab_task_review 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 collab_task_review 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 collab_task_review. 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.
collab_task_review is provided by the Agenttool MCP server (https://api.agenttool.dev/v1/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Agenttool, and thousands of servers like it.
Across the catalogue