This record as markdown: /tools/io-github-derekslinz-meta-data-mcp/endpoint-name.md
What endpoint-name does on Meta Data Mcp
AI agents call endpoint-name to retrieve information from Meta Data Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why endpoint-name is rated Low
Based on the server's stated purpose to 'query 76 open data APIs' and the pattern of sibling tools that retrieve/list data without modification, this tool almost certainly retrieves or queries data. No write, delete, execute, or financial operations are evident. Confidence is slightly reduced because the direct description is generic, but server context strongly indicates Read category.
From the tool's definition Tool description is uninformative ('Description of what this endpoint does'), but the server context indicates it queries open data APIs.
Attacks that exploit this kind of access
The rule that runs endpoint-name safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Meta Data Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For endpoint-name, this is the rule to start with:
endpoint-name is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Meta Data Mcp, apply this rule, and every endpoint-name call is checked against it from then on.
Questions about endpoint-name
Description of what this endpoint does. It is categorised as a Read tool in the Meta Data Mcp MCP Server, which means it retrieves data without modifying state.
Register the Meta Data MCP server in PolicyLayer and add a rule for endpoint-name: 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 Meta Data Mcp. Nothing to install.
endpoint-name 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 endpoint-name 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 endpoint-name. 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.
endpoint-name is provided by the Meta Data MCP server (pypi:meta-data-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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