AI agents call project_summary to retrieve information from Kanban without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
A 'summary' operation typically compiles and returns existing data without modifying state. The sibling tools include destructive operations (delete_item, delete_decision, delete_tag) and write operations (add_*, edit_*), suggesting this tool is a complementary read-only query.
From the tool's definition Tool name 'project_summary' suggests retrieving aggregated project information. The description is empty, but the server context indicates it's part of a kanban board system with 40+ tools including explicit Read operations (implied by 'semantic search') and…
Documented attack patterns abuse exactly the kind of access project_summary gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Kanban, and nothing reaches the server without passing your rules. This is the rule we recommend for project_summary:
{
"version": "1",
"default": "deny",
"tools": {
"project_summary": {}
}
}project_summary is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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project_summary. It is categorised as a Read tool in the Kanban MCP Server, which means it retrieves data without modifying state.
Register the Kanban MCP server in PolicyLayer and add a rule for project_summary: 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 Kanban. Nothing to install.
project_summary 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 project_summary 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 project_summary. 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.
project_summary is provided by the Kanban MCP server (multidimensionalcats/kanban-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Kanban, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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45 Kanban tools catalogued and risk-classified — across an index of 43,000+ MCP servers.