propose_briefs
Propose ranked content briefs for a cataloged domain, built from data already collected for it: tracked questions where the answer did not cite them, keywords with AI-prompt demand no tracked question covers, People Also Ask questions nothing answers, and terms asked far more of AI assistants tha...
This record as markdown: /tools/com-groundedaeo-grounded-aeo/propose-briefs.md
What propose_briefs does on Grounded Aeo
AI agents call propose_briefs to retrieve information from Grounded Aeo 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 |
|---|---|---|---|
domain | string | Yes | Company domain, e.g. acme.com |
Parameters from the server's own tool schema.
Why propose_briefs is rated Low
This tool retrieves and analyzes pre-existing data to generate recommendations and rankings. It has no side effects on the underlying data or external systems. The 'propose' action is informational—generating suggestions, not writing or storing content. No data modification, code execution, destruction, or financial impact occurs.
From the tool's definition Tool description explicitly states "Deterministic and read-only: no new data is fetched and nothing is generated." The tool proposes/ranks content briefs using "data already collected" and produces output based on existing facts without creating, modifying,…
Attacks that exploit this kind of access
The rule that runs propose_briefs safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Grounded Aeo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For propose_briefs, this is the rule to start with:
propose_briefs 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 Grounded Aeo, apply this rule, and every propose_briefs call is checked against it from then on.
Questions about propose_briefs
Propose ranked content briefs for a cataloged domain, built from data already collected for it: tracked questions where the answer did not cite them, keywords with AI-prompt demand no tracked question covers, People Also Ask questions nothing answers, and terms asked far more of AI assistants than of Google. Each brief names the exact question to answer, a format (9:16 UGC video, on-site answer, or short post), an outline, and the ONLY claims that may be made: the owner's published verified facts, verbatim. Deterministic and read-only: no new data is fetched and nothing is generated, so a brief with no evidence behind it is never returned. Claimed domains only; up to 6 briefs; an empty list means there is not yet enough collected data, never that there is no opportunity. It is categorised as a Read tool in the Grounded Aeo MCP Server, which means it retrieves data without modifying state.
propose_briefs accepts 1 parameter: domain. Required: domain. The full parameter table on this page comes from the server's own tool schema.
Register the Grounded Aeo MCP server in PolicyLayer and add a rule for propose_briefs: 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 Grounded Aeo. Nothing to install.
propose_briefs 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 propose_briefs 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 propose_briefs. 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.
propose_briefs is provided by the Grounded Aeo MCP server (https://groundedaeo.com/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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