This record as markdown: /tools/io-github-fullread-deepadb/my-custom-tool.md
What my_custom_tool does on Deepadb
AI agents call my_custom_tool as a supporting operation in Deepadb workflows.
Why my_custom_tool is rated Low
The tool name and description provide no actionable information about what this tool does. With no meaningful evidence to classify its behavior, this falls into 'Other' with very low confidence. The severity is set to low as a default, but this could change drastically depending on actual functionality.
From the tool's definition Tool name is 'my_custom_tool' and description is literally 'description' — completely uninformative.
Attacks that exploit this kind of access
The rule that runs my_custom_tool safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Deepadb, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For my_custom_tool, this is the rule to start with:
my_custom_tool gets a rate cap, and everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Deepadb, apply this rule, and every my_custom_tool call is checked against it from then on.
Questions about my_custom_tool
description. It is categorised as a Other tool in the Deepadb MCP Server, which means it performs auxiliary operations.
Register the Deepadb MCP server in PolicyLayer and add a rule for my_custom_tool: 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 Deepadb. Nothing to install.
my_custom_tool is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the my_custom_tool 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 my_custom_tool. 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.
my_custom_tool is provided by the Deepadb MCP server (deepadb). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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