Get aggregated summary across all engagements in a campaign.
AI agents call get_campaign_summary to retrieve information from Pentest Ai without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and aggregates existing data from completed engagements within a campaign. It performs no write operations, does not execute code or commands, does not delete data, and involves no financial transactions. The 'get' verb and 'summary' retrieval pattern are characteristic of Read operations.
From the tool's definition Tool name 'get_campaign_summary' and description 'Get aggregated summary across all engagements in a campaign' indicates a retrieval/query operation that aggregates and returns data without modifying, deleting, or executing external operations.
Documented attack patterns abuse exactly the kind of access get_campaign_summary gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Pentest Ai, and nothing reaches the server without passing your rules. This is the rule we recommend for get_campaign_summary:
{
"version": "1",
"default": "deny",
"tools": {
"get_campaign_summary": {}
}
} get_campaign_summary is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get aggregated summary across all engagements in a campaign. It is categorised as a Read tool in the Pentest Ai MCP Server, which means it retrieves data without modifying state.
Register the Pentest Ai MCP server in PolicyLayer and add a rule for get_campaign_summary: 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 Pentest Ai. Nothing to install.
get_campaign_summary 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 get_campaign_summary 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 get_campaign_summary. 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.
get_campaign_summary is provided by the Pentest Ai MCP server (0xsteph/pentest-ai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 51 Pentest Ai tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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51 Pentest Ai tools catalogued and risk-classified — across an index of 42,500+ MCP servers.