redmine_throughput
Throughput analysis: created vs closed tickets per week.
This record as markdown: /tools/a1official-mcp/redmine-throughput.md
What redmine_throughput does on Redmine Analytics and Automation MCP Server
AI agents call redmine_throughput to retrieve information from Redmine Analytics and Automation MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why redmine_throughput is rated Low
This tool retrieves historical ticket metrics (creation and closure counts) for analysis purposes. It has no side effects—it queries data to generate insights about sprint throughput. The verb 'analysis' and the passive framing 'created vs closed tickets' indicate a Read operation that gathers information for reporting, not one that creates, modifies, deletes, or executes external operations.
From the tool's definition Tool name is 'redmine_throughput' and description states it performs 'Throughput analysis: created vs closed tickets per week' — a query/analytics operation that retrieves and analyzes existing data without modification.
Attacks that exploit this kind of access
The rule that runs redmine_throughput safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Redmine Analytics and Automation MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For redmine_throughput, this is the rule to start with:
redmine_throughput is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Redmine Analytics and Automation MCP Server, apply this rule, and every redmine_throughput call is checked against it from then on.
Questions about redmine_throughput
Throughput analysis: created vs closed tickets per week. It is categorised as a Read tool in the Redmine Analytics and Automation MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Redmine Analytics and Automation MCP Server MCP server in PolicyLayer and add a rule for redmine_throughput: 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 Redmine Analytics and Automation MCP Server. Nothing to install.
redmine_throughput 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 redmine_throughput 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 redmine_throughput. 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.
redmine_throughput is provided by the Redmine Analytics and Automation MCP Server MCP server (a1official/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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