"Tell me about X" / "research Acme" / "brief me on Tesla" / "what does Apple do" / "company profile for Microsoft" / "give me the rundown on NVDA" / "everything you know about $TICKER" — full cross-source profile of a US public company in ONE parallel call. ALWAYS PREFER over chaining single-pack...
AI agents call entity_profile to retrieve information from Mcp Themeparks without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
type | string | Yes | Entity type. Only "company" supported today; person/place coming soon. |
value | string | Yes | Ticker (e.g., "AAPL") or zero-padded CIK (e.g., "0000320193"). Names not supported — use resolve_entity first if you only have a name. |
Parameters from the server's own tool schema.
This tool exclusively retrieves and aggregates publicly available company information across multiple data sources (SEC filings, news, trademark data, financial records). It performs no writes, deletions, code execution, or financial transactions—only passive data queries and aggregation. The slightly truncated description confirms read-only retrieval with no side effects.
From the tool's definition Tool returns 'full cross-source profile' of company data from SEC EDGAR, XBRL, USPTO, news, and GLEIF sources.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
"Tell me about X" / "research Acme" / "brief me on Tesla" / "what does Apple do" / "company profile for Microsoft" / "give me the rundown on NVDA" / "everything you know about $TICKER" — full cross-source profile of a US public company in ONE parallel call. ALWAYS PREFER over chaining single-pack SEC/XBRL/news lookups when the user asks for a holistic view. Fans out across SEC EDGAR, XBRL, USPTO, news, GLEIF and returns: cik + company_name; recent_filings (up to 5 with pipeworx://edgar/company/{cik}/filings/{accession} URIs); fundamentals (LATEST 10-K Revenues + NetIncomeLoss + Cash, sorted period_end DESC); patents (USPTO PatentsView API sunset May 2025 — soft-fails until reactivated); recent news mentions via GDELT→GNews fallback; LEI via GLEIF. Pass ticker "AAPL" or zero-padded CIK "0000320193" — names not supported (use resolve_entity first if you only have a name). It is categorised as a Read tool in the Mcp Themeparks MCP Server, which means it retrieves data without modifying state.
entity_profile accepts 2 parameters: type, value. Required: type, value. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Themeparks MCP server in PolicyLayer and add a rule for entity_profile: 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 Mcp Themeparks. Nothing to install.
entity_profile 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 entity_profile 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 entity_profile. 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.
entity_profile is provided by the Mcp Themeparks MCP server (pipeworx-io/mcp-themeparks). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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