Get a specific work package by ID
AI agents call get_work_package to retrieve information from OpenProject MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves data about a single work package without modifying, deleting, or executing any operations. It is a simple read-only query operation, posing minimal risk even if misused by an AI agent.
From the tool's definition Tool name 'get_work_package' and description 'Get a specific work package by ID' clearly indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
Get a specific work package by ID. It is categorised as a Read tool in the OpenProject MCP Server MCP Server, which means it retrieves data without modifying state.
Register the OpenProject MCP Server MCP server in PolicyLayer and add a rule for get_work_package: 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 OpenProject MCP Server. Nothing to install.
get_work_package 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_work_package 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_work_package. 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_work_package is provided by the OpenProject MCP Server MCP server (widjis/mcp-openproject). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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