Get a project by ID with all its data (tasks, tags, milestones). Tasks are returned as summaries by default; set verbose=true for full task data.
AI agents call get_project to retrieve information from Roadmap Skill without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only retrieves or queries project data (tasks, tags, milestones) with no side effects. It does not create, modify, delete, or execute operations. The local storage mechanism and collaborative nature do not change the read-only nature of data retrieval. Low severity due to minimal blast radius if misused—worst case is information disclosure of existing project data.
From the tool's definition Tool name 'get_project' and description states it 'Get[s] a project by ID with all its data', which retrieves stored information without modification. The verbose parameter controls detail level of returned data, not whether data is modified.
Documented attack patterns abuse exactly the kind of access get_project gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Roadmap Skill, and nothing reaches the server without passing your rules. This is the rule we recommend for get_project:
{
"version": "1",
"default": "deny",
"tools": {
"get_project": {}
}
}get_project is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get a project by ID with all its data (tasks, tags, milestones). Tasks are returned as summaries by default; set verbose=true for full task data. It is categorised as a Read tool in the Roadmap Skill MCP Server, which means it retrieves data without modifying state.
Register the Roadmap Skill MCP server in PolicyLayer and add a rule for get_project: 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 Roadmap Skill. Nothing to install.
get_project 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_project 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_project. 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_project is provided by the Roadmap Skill MCP server (shiquda/roadmap-skill). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 32 Roadmap Skill tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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32 Roadmap Skill tools catalogued and risk-classified — across an index of 42,500+ MCP servers.