π― COMPLETE WORKFLOW: Run the entire experiment analysis from start to finish. Fetches data from all configured databases β Generates Excel with comprehensive analysis tables β Creates thesis-quality Word report. This is the all-in-one tool.
AI agents invoke run_complete_analysis to trigger actions in StatFlow. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call β builds kicked off, notifications sent, workflows started.
This tool orchestrates a complex, multi-step workflow that executes analysis operations across multiple systems (databases, Excel generation, Word document creation). While it primarily reads data and writes output files, the execution of analysis logic and potential for unintended consequences through misconfigured databases or incorrect parameters makes it Execute-category.
From the tool's definition Tool description states it 'Run[s] the entire experiment analysis from start to finish' and 'Fetches data from all configured databases β Generates Excel with comprehensive analysis tables β Creates thesis-quality Word report.' The verb 'Run' combined withβ¦
Risk signalsBulk/mass operation β affects multiple targets
Attacks that exploit this kind of access
π― COMPLETE WORKFLOW: Run the entire experiment analysis from start to finish. Fetches data from all configured databases β Generates Excel with comprehensive analysis tables β Creates thesis-quality Word report. This is the all-in-one tool. It is categorised as a Execute tool in the StatFlow MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the StatFlow MCP server in PolicyLayer and add a rule for run_complete_analysis: 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 StatFlow. Nothing to install.
run_complete_analysis 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 run_complete_analysis 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 run_complete_analysis. 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.
run_complete_analysis is provided by the StatFlow MCP server (rucha-nandgirikar/statflow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →