Get all rules for the current active project, formatted as a markdown document. Use this at the start of a task to load project context.
AI agents call get_project_context to retrieve information from mcp-Agentmemory without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and reads project context (rules/configuration) without any side effects. It does not create, modify, delete, or execute code. The output is informational only, making it a straightforward Read category tool with low severity—accessing stored configuration poses minimal risk.
From the tool's definition Tool description states 'Get all rules for the current active project, formatted as a markdown document', indicating retrieval/query operation with no modification, deletion, or execution of external processes.
Attacks that exploit this kind of access
Get all rules for the current active project, formatted as a markdown document. Use this at the start of a task to load project context. It is categorised as a Read tool in the mcp-Agentmemory MCP Server, which means it retrieves data without modifying state.
Register the mcp-Agentmemory MCP server in PolicyLayer and add a rule for get_project_context: 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 mcp-Agentmemory. Nothing to install.
get_project_context 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_context 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_context. 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_context is provided by the mcp-Agentmemory MCP server (obidel/agentmemory). 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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