Get deep trust analysis for an ACP agent address. Returns detailed breakdown with percentile rankings, risk signals, and behavioral patterns. Use this for thorough due diligence.
AI agents call deep_analysis to retrieve information from Maiat Protocol without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and analyzes existing trust data for an agent address, providing due diligence information through querying backend trust metrics. The output is analytical and informational with no side effects on system state, agent credentials, or financial positions. It belongs in the Read category as the most permissive safe classification for data retrieval tools.
From the tool's definition Tool name 'deep_analysis' with description 'Get deep trust analysis' and 'Returns detailed breakdown' indicate retrieval and querying of data. No modifications, deletions, executions, or financial transactions are performed.
Attacks that exploit this kind of access
Get deep trust analysis for an ACP agent address. Returns detailed breakdown with percentile rankings, risk signals, and behavioral patterns. Use this for thorough due diligence. It is categorised as a Read tool in the Maiat Protocol MCP Server, which means it retrieves data without modifying state.
Register the Maiat Protocol MCP server in PolicyLayer and add a rule for deep_analysis: 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 Maiat Protocol. Nothing to install.
deep_analysis 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 deep_analysis 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_analysis. 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_analysis is provided by the Maiat Protocol MCP server (jhinresh/maiat-protocol). 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.
Teams ship this data inside their own products. See what a licence covers →