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entity_dossier

Build a consolidated cross-source dossier for a company in one call: SEC registration and identifiers (EDGAR), environmental footprint and regulated facilities (EPA ECHO), and sanctions/denied-party screening (OFAC/UN/EU/BIS) with a confidence score. Returns a per-source summary plus top records....

SERVERLivedatalink SOURCEhttps://livedatalink.ai/mcp
High RISK CLASS
Category Execute
Parameters 31 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-blackboxfoundry-livedatalink/entity-dossier.md

What entity_dossier does on Livedatalink

AI agents invoke entity_dossier to trigger actions in Livedatalink. 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.

ParameterTypeRequiredDescription
name string Yes Company / organization name, e.g. 'Chevron Corporation', 'Acme Trucking LLC'.
limit number Max records to surface per source (default 5, max 15).
state string Optional 2-letter US state to disambiguate location-based sources (e.g. 'TX').

Parameters from the server's own tool schema.

Why entity_dossier is rated High

entity_dossier triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Questions about entity_dossier

What does the entity_dossier tool do? +

Build a consolidated cross-source dossier for a company in one call: SEC registration and identifiers (EDGAR), environmental footprint and regulated facilities (EPA ECHO), and sanctions/denied-party screening (OFAC/UN/EU/BIS) with a confidence score. Returns a per-source summary plus top records. This is a single AI-native lookup across data that otherwise lives in separate silos. Matches are name-based; verify identity before relying on any link. It is categorised as a Execute tool in the Livedatalink MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does entity_dossier accept? +

entity_dossier accepts 3 parameters: name, limit, state. Required: name. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on entity_dossier? +

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

What risk level is entity_dossier? +

entity_dossier is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit entity_dossier? +

Yes. Add a rate_limit block to the entity_dossier 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 entity_dossier completely? +

Set action: deny in the PolicyLayer policy for entity_dossier. 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 entity_dossier? +

entity_dossier is provided by the Livedatalink MCP server (https://livedatalink.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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