collab_session_start
Create and bind a credential-fenced session. The bearer is written to a mode-0600 local file and is never returned in tool output.
This record as markdown: /tools/dev-agenttool-agenttool/collab-session-start.md
What collab_session_start does on Agenttool
AI agents invoke collab_session_start 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_session_start is rated High
collab_session_start 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_session_start 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_session_start, this is the rule to start with:
collab_session_start 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_session_start call is checked against it from then on.
Questions about collab_session_start
Create and bind a credential-fenced session. The bearer is written to a mode-0600 local file and is never returned in tool output. 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_session_start: 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_session_start 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_session_start 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_session_start. 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_session_start 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.
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