adb_profile_save
Save a device profile to the profiles library. Use after adb_profile_detect to persist the profile, or create a manual profile with custom quirks and notes.
This record as markdown: /tools/io-github-fullread-deepadb/adb-profile-save.md
What adb_profile_save does on Deepadb
AI agents use adb_profile_save to create or update resources in Deepadb, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Deepadb environment.
Why adb_profile_save is rated Medium
This tool creates or stores a profile in a library, which is a reversible data modification. It does not delete, execute code, or move money. The severity is medium because misuse could pollute the profiles library with incorrect or malicious device profiles that might affect subsequent device detection or configuration decisions, but the impact is scoped to profile data and can be undone by deletion or correction.
From the tool's definition "Save a device profile to the profiles library" — the tool persists data (profile) to a stored collection, modifying the profiles library state.
Attacks that exploit this kind of access
The rule that runs adb_profile_save 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 adb_profile_save, this is the rule to start with:
adb_profile_save stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. 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 adb_profile_save call is checked against it from then on.
Questions about adb_profile_save
Save a device profile to the profiles library. Use after adb_profile_detect to persist the profile, or create a manual profile with custom quirks and notes. It is categorised as a Write tool in the Deepadb MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Deepadb MCP server in PolicyLayer and add a rule for adb_profile_save: 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.
adb_profile_save 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 adb_profile_save 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 adb_profile_save. 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.
adb_profile_save 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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