functions_complete_success
Signal the successful completion of a function.
This record as markdown: /tools/karbassi-slack-mcp/functions-complete-success.md
What functions_complete_success does on Slack
AI agents invoke functions_complete_success to trigger actions in Slack. 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 functions_complete_success is rated High
This tool triggers an external operation (signaling completion of a workflow function to Slack), which causes side effects in Slack's workflow/function execution system. It is not a simple read, nor does it clearly destroy data or move money. 'Execute' best fits because it triggers an external operation whose effects depend on the function context being completed.
From the tool's definition Signal the successful completion of a function
Attacks that exploit this kind of access
The rule that runs functions_complete_success safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Slack, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For functions_complete_success, this is the rule to start with:
functions_complete_success 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 Slack, apply this rule, and every functions_complete_success call is checked against it from then on.
Questions about functions_complete_success
Signal the successful completion of a function. It is categorised as a Execute tool in the Slack MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Slack MCP server in PolicyLayer and add a rule for functions_complete_success: 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 Slack. Nothing to install.
functions_complete_success 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 functions_complete_success 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 functions_complete_success. 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.
functions_complete_success is provided by the Slack MCP server (karbassi/slack-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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