opendata_federate_query
Run several plugin tool calls, normalize their results onto a
This record as markdown: /tools/io-github-derekslinz-meta-data-mcp/opendata-federate-query.md
What opendata_federate_query does on Meta Data Mcp
AI agents invoke opendata_federate_query to trigger actions in Meta Data Mcp. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why opendata_federate_query is rated High
The tool actively executes multiple plugin/tool calls in a federated manner rather than simply reading data. Because it triggers external operations across many APIs (76 open data APIs mentioned in server description), the blast radius is high — a misconfigured or malicious query could fan out across numerous external services simultaneously.
From the tool's definition 'Run several plugin tool calls, normalize their results' — this tool executes multiple tool calls orchestrated together, triggering external operations across multiple APIs
Attacks that exploit this kind of access
The rule that runs opendata_federate_query 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 opendata_federate_query, this is the rule to start with:
opendata_federate_query stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. 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 opendata_federate_query call is checked against it from then on.
Questions about opendata_federate_query
Run several plugin tool calls, normalize their results onto a. It is categorised as a Execute tool in the Meta Data Mcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Meta Data MCP server in PolicyLayer and add a rule for opendata_federate_query: 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.
opendata_federate_query is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the opendata_federate_query 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 opendata_federate_query. 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.
opendata_federate_query 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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