Analyze form submissions, including completion rates and response distributions
AI agents call submission_analysis to retrieve information from Tally MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and analyzes existing submission data to produce statistics like completion rates and response distributions. It retrieves and processes data without modifying, deleting, or executing anything. Severity is low as it only reads/aggregates existing form data.
From the tool's definition Analyze form submissions, including completion rates and response distributions
Documented attack patterns abuse exactly the kind of access submission_analysis gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Tally MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for submission_analysis:
{
"version": "1",
"default": "deny",
"tools": {
"submission_analysis": {}
}
} submission_analysis is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyze form submissions, including completion rates and response distributions. It is categorised as a Read tool in the Tally MCP MCP Server, which means it retrieves data without modifying state.
Register the Tally MCP server in PolicyLayer and add a rule for submission_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 Tally MCP. Nothing to install.
submission_analysis is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the submission_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 submission_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.
submission_analysis is provided by the Tally MCP server (learnwithcc/tally-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Tally MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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18 Tally MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.