Expand a paper's graph to depth 2 AND deep-analyze its top-K most-influential
AI agents invoke deep_dive to trigger actions in surveyHelper. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes a compound operation: it expands a citation graph traversal and triggers deep analysis on multiple papers. It's not a simple read/query but an active processing pipeline that runs analysis jobs, likely consuming significant compute and potentially writing results. 'Execute' is most appropriate as it triggers external operations whose effects depend on arguments (depth, K value).
From the tool's definition 'Expand a paper's graph to depth 2 AND deep-analyze its top-K most-influential' — triggers multi-step graph expansion and deep analysis operations
Attacks that exploit this kind of access
Expand a paper's graph to depth 2 AND deep-analyze its top-K most-influential. It is categorised as a Execute tool in the surveyHelper MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the surveyHelper MCP server in PolicyLayer and add a rule for deep_dive: 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 surveyHelper. Nothing to install.
deep_dive is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the deep_dive 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 deep_dive. 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.
deep_dive is provided by the surveyHelper MCP server (rich7420/surveyhelper). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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