Reads and returns the current backlog contents with optional filtering. Shows tasks organized by priority with counts and summary.
AI agents call get_backlog to retrieve information from Project MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a query operation that retrieves and presents existing data (backlog tasks) in an organized format. No data is created, modified, deleted, or used to trigger external operations. The optional filtering is purely for presentation/search scope, not a side effect. This is a standard Read operation with minimal risk.
From the tool's definition Tool name and description both indicate retrieval: 'Reads and returns the current backlog contents' with 'optional filtering' for display purposes. Returns organized task summaries without modifying data.
Documented attack patterns abuse exactly the kind of access get_backlog gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Project MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_backlog:
{
"version": "1",
"default": "deny",
"tools": {
"get_backlog": {}
}
}get_backlog is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Reads and returns the current backlog contents with optional filtering. Shows tasks organized by priority with counts and summary. It is categorised as a Read tool in the Project MCP MCP Server, which means it retrieves data without modifying state.
Register the Project MCP server in PolicyLayer and add a rule for get_backlog: 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 Project MCP. Nothing to install.
get_backlog 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 get_backlog 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 get_backlog. 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.
get_backlog is provided by the Project MCP server (pouyanafisi/project-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Project 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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42 Project MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.