tengu_v3_factor_characteristics
Latest monthly firm-characteristic vector from the academic firm-characteristic panel (~460 columns incl. the 102 published anomaly characteristics — size, book-to-market, momentum, liquidity, accruals, analyst coverage, plus macro interactions). Call it when you need the full quant feature set f...
This record as markdown: /tools/tengu-mcp/tengu-v3-factor-characteristics.md
What tengu_v3_factor_characteristics does on Tengu
AI agents use tengu_v3_factor_characteristics to create or update resources in Tengu, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Tengu environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
as_of | string | — | |
ticker | string | Yes | Path parameter 'ticker' (required). |
Parameters from the server's own tool schema.
Why tengu_v3_factor_characteristics is rated Medium
An AI agent can call tengu_v3_factor_characteristics faster than any human can review: one bad instruction and it creates or modifies resources in Tengu by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs tengu_v3_factor_characteristics 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_factor_characteristics, this is the rule to start with:
tengu_v3_factor_characteristics stays usable, but capped: an agent stuck in a loop can't make hundreds of changes 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_factor_characteristics call is checked against it from then on.
Questions about tengu_v3_factor_characteristics
Latest monthly firm-characteristic vector from the academic firm-characteristic panel (~460 columns incl. the 102 published anomaly characteristics — size, book-to-market, momentum, liquidity, accruals, analyst coverage, plus macro interactions). Call it when you need the full quant feature set for one stock, or a point-in-time vector via as_of. Ticker is resolved to its internal security key automatically. It is categorised as a Write tool in the Tengu MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
tengu_v3_factor_characteristics accepts 2 parameters: as_of, ticker. 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_factor_characteristics: 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_factor_characteristics is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the tengu_v3_factor_characteristics 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_factor_characteristics. 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_factor_characteristics 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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