dbnomics-series

Fetch data for specific economic series from DBnomics.

SERVERMeta Data Mcp SOURCEpypi:meta-data-mcp
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-derekslinz-meta-data-mcp/dbnomics-series.md

What dbnomics-series does on Meta Data Mcp

AI agents call dbnomics-series 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 dbnomics-series is rated Low

This tool queries an open economic data API (DBnomics) to retrieve time series data. It has no capability to create, modify, delete, or execute code. The operation is a simple data retrieval with no side effects or irreversible actions. Blast radius of misuse is minimal—an agent could at worst retrieve unwanted economic data, which poses no security or safety risk.

From the tool's definition Tool name 'dbnomics-series' and description 'Fetch data for specific economic series from DBnomics' indicate data retrieval with no modification or deletion capability. The verb 'Fetch' is characteristic of read-only operations.

Questions about dbnomics-series

What does the dbnomics-series tool do? +

Fetch data for specific economic series from DBnomics. It is categorised as a Read tool in the Meta Data Mcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on dbnomics-series? +

Register the Meta Data MCP server in PolicyLayer and add a rule for dbnomics-series: 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.

What risk level is dbnomics-series? +

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

Can I rate-limit dbnomics-series? +

Yes. Add a rate_limit block to the dbnomics-series 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 dbnomics-series completely? +

Set action: deny in the PolicyLayer policy for dbnomics-series. 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 dbnomics-series? +

dbnomics-series 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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