tengu_v3_news_sentiment_history
Daily aggregated news sentiment for one company back to 2000 — mean event sentiment (ESS), event count and mean relevance per day from the news-analytics archive (2000-2025) stitched with the live feed. Call it for long-run sentiment regimes or news reaction around past events; for today's headli...
This record as markdown: /tools/tengu-mcp/tengu-v3-news-sentiment-history.md
What tengu_v3_news_sentiment_history does on Tengu
AI agents invoke tengu_v3_news_sentiment_history to trigger actions in Tengu. 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
end | string | — | |
limit | integer | — | |
start | string | — | |
entity | string | — | |
ticker | string | Yes | Path parameter 'ticker' (required). |
min_relevance | number | — |
Parameters from the server's own tool schema.
Why tengu_v3_news_sentiment_history is rated High
tengu_v3_news_sentiment_history 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.
Attacks that exploit this kind of access
The rule that runs tengu_v3_news_sentiment_history safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Tengu, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For tengu_v3_news_sentiment_history, this is the rule to start with:
tengu_v3_news_sentiment_history 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 Tengu, apply this rule, and every tengu_v3_news_sentiment_history call is checked against it from then on.
Questions about tengu_v3_news_sentiment_history
Daily aggregated news sentiment for one company back to 2000 — mean event sentiment (ESS), event count and mean relevance per day from the news-analytics archive (2000-2025) stitched with the live feed. Call it for long-run sentiment regimes or news reaction around past events; for today's headlines use the /news routes instead. It is categorised as a Execute tool in the Tengu MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
tengu_v3_news_sentiment_history accepts 6 parameters: end, limit, start, entity, ticker, min_relevance. Required: ticker. The full parameter table on this page comes from the server's own tool schema.
Register the Tengu MCP server in PolicyLayer and add a rule for tengu_v3_news_sentiment_history: 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 Tengu. Nothing to install.
tengu_v3_news_sentiment_history 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 tengu_v3_news_sentiment_history 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 tengu_v3_news_sentiment_history. 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.
tengu_v3_news_sentiment_history is provided by the Tengu MCP server (Hlobo-dev/tengu-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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