This record as markdown: /tools/hermoso/competitor-teardown.md
What competitor_teardown does on Hermoso
AI agents call competitor_teardown to retrieve information from Hermoso without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why competitor_teardown is rated Low
The tool retrieves and analyzes competitor ad information from public ad libraries (Meta, Google, LinkedIn). While it involves competitor intelligence gathering, it is fundamentally a read-only operation that queries existing public data with no ability to modify, delete, or execute actions on competitor systems. The term 'teardown' refers to analysis/deconstruction of data, not destructive action.
From the tool's definition 'Tear a competitor' in the context of the server's documented purpose of 'spy on competitor ads across the Meta, Google and LinkedIn ad libraries.' This is analyzing and gathering intelligence on publicly available competitor advertising data.
Attacks that exploit this kind of access
The rule that runs competitor_teardown safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Hermoso, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For competitor_teardown, this is the rule to start with:
competitor_teardown 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 Hermoso, apply this rule, and every competitor_teardown call is checked against it from then on.
Questions about competitor_teardown
Tear a competitor. It is categorised as a Read tool in the Hermoso MCP Server, which means it retrieves data without modifying state.
Register the Hermoso MCP server in PolicyLayer and add a rule for competitor_teardown: 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 Hermoso. Nothing to install.
competitor_teardown 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 competitor_teardown 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 competitor_teardown. 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.
competitor_teardown is provided by the Hermoso MCP server (https://app.hermoso.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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