Lists all architecture decisions from DECISIONS.md with optional filtering by status or tag.
AI agents call list_decisions 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 queries and retrieves existing decision records from DECISIONS.md. The description explicitly indicates it performs listing/filtering operations only, with no creation, modification, or deletion of data. This is a pure read operation with minimal security risk.
From the tool's definition Tool name 'list_decisions' and description states it 'Lists all architecture decisions' with optional filtering—a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access list_decisions 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 list_decisions:
{
"version": "1",
"default": "deny",
"tools": {
"list_decisions": {}
}
} list_decisions is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Lists all architecture decisions from DECISIONS.md with optional filtering by status or tag. 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 list_decisions: 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.
list_decisions 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 list_decisions 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 list_decisions. 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.
list_decisions 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.