AI agents use submit_tool_analysis_json to create or update resources in Mcplab — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcplab environment.
This tool writes structured data (JSON analysis) to the system, which is a reversible modification. It has no destructive capability and does not execute arbitrary operations or access financial systems. However, depending on how analysis submissions are used in the evaluation pipeline, incorrect submissions could affect subsequent decisions, warranting medium severity.
From the tool's definition Tool name 'submit_tool_analysis_json' indicates it takes JSON input and the description states 'Submit the final analysis response' — an action that creates or modifies stored analysis data within the MCPLab evaluation system.
Attacks that exploit this kind of access
Submit the final analysis response as JSON object. Use this instead of returning free-form text. It is categorised as a Write tool in the Mcplab MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcplab MCP server in PolicyLayer and add a rule for submit_tool_analysis_json: 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 Mcplab. Nothing to install.
submit_tool_analysis_json is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the submit_tool_analysis_json 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 submit_tool_analysis_json. 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.
submit_tool_analysis_json is provided by the Mcplab MCP server (@inspectr/mcplab-mcp-server). 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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