tengu_v3_research_synthesis
Citation-rich research synthesis (grounded LLM). Returns a concise synthesized answer plus the list of source URLs that grounded it. Use when the user wants the answer GROUNDED with explicit sources (e.g. 'summarize NVIDIA's last earnings call and link the transcript'). Distinct from web_search —...
This record as markdown: /tools/tengu-mcp/tengu-v3-research-synthesis.md
What tengu_v3_research_synthesis does on Tengu
AI agents call tengu_v3_research_synthesis to retrieve information from Tengu without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
query | string | Yes | |
system_prompt | string | — |
Parameters from the server's own tool schema.
Why tengu_v3_research_synthesis is rated Low
Even though tengu_v3_research_synthesis only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs tengu_v3_research_synthesis 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_research_synthesis, this is the rule to start with:
tengu_v3_research_synthesis is read-only, so it stays allowed. 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_research_synthesis call is checked against it from then on.
Questions about tengu_v3_research_synthesis
Citation-rich research synthesis (grounded LLM). Returns a concise synthesized answer plus the list of source URLs that grounded it. Use when the user wants the answer GROUNDED with explicit sources (e.g. 'summarize NVIDIA's last earnings call and link the transcript'). Distinct from web_search — this returns prose + citations, not a list of headlines. It is categorised as a Read tool in the Tengu MCP Server, which means it retrieves data without modifying state.
tengu_v3_research_synthesis accepts 2 parameters: query, system_prompt. Required: query. 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_research_synthesis: 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_research_synthesis 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 tengu_v3_research_synthesis 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_research_synthesis. 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_research_synthesis 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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