get_goals_progress

Current progress on the user

Server Vetroscope MCP rankin-works/vetroscope-mcp
Category Read
Risk class Low
Parameters 00 required

What get_goals_progress does on Vetroscope MCP

AI agents call get_goals_progress to retrieve information from Vetroscope MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_goals_progress needs a policy

This tool only retrieves goals progress data from a local SQLite database without any ability to modify, delete, or execute operations. The read-only server design and getter pattern confirm the Read category. Severity is low because access to personal time-tracking and goals progress data, while privacy-sensitive, poses minimal direct risk when the tool cannot write, delete, or execute arbitrary operations.

From the tool's definition Server is explicitly described as 'read-only' and provides 'detailed time-tracking data'. Tool name 'get_goals_progress' follows read pattern (get_*). Description indicates retrieval of 'current progress on the user' with no modification capability.

Questions about get_goals_progress

What does the get_goals_progress tool do? +

Current progress on the user. It is categorised as a Read tool in the Vetroscope MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_goals_progress? +

Register the Vetroscope MCP server in PolicyLayer and add a rule for get_goals_progress: 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 Vetroscope MCP. Nothing to install.

What risk level is get_goals_progress? +

get_goals_progress is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_goals_progress? +

Yes. Add a rate_limit block to the get_goals_progress 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.

How do I block get_goals_progress completely? +

Set action: deny in the PolicyLayer policy for get_goals_progress. 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.

What MCP server provides get_goals_progress? +

get_goals_progress is provided by the Vetroscope MCP server (rankin-works/vetroscope-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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