adb_regression_baseline

Capture a performance baseline for a package: memory, CPU, frame stats, battery, and network state. Saves to a timestamped JSON file for later comparison with adb_regression_check.

SERVERDeepadb SOURCEdeepadb

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-fullread-deepadb/adb-regression-baseline.md

WHAT IT DOES

What adb_regression_baseline does on Deepadb

AI agents use adb_regression_baseline 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.

RISK

Why adb_regression_baseline is rated Medium

The tool captures performance data (memory, CPU, frame stats, battery, network) and persists it to a JSON file. This is a Write operation as it creates a new file on the filesystem. Severity is medium because it writes files to disk, but the impact is limited to performance baseline data files rather than sensitive system modifications.

From the tool's definition 'Saves to a timestamped JSON file for later comparison' — the tool writes a JSON file to disk containing captured performance metrics

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs adb_regression_baseline 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_regression_baseline, this is the rule to start with:

adb_regression_baseline Rate-limited

adb_regression_baseline 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "adb_regression_baseline": {
      "limits": [
        {
          "counter": "adb_regression_baseline_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Deepadb, apply this rule, and every adb_regression_baseline call is checked against it from then on.

FAQ

Questions about adb_regression_baseline

What does the adb_regression_baseline tool do? +

Capture a performance baseline for a package: memory, CPU, frame stats, battery, and network state. Saves to a timestamped JSON file for later comparison with adb_regression_check. 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.

How do I enforce a policy on adb_regression_baseline? +

Register the Deepadb MCP server in PolicyLayer and add a rule for adb_regression_baseline: 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.

What risk level is adb_regression_baseline? +

adb_regression_baseline is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit adb_regression_baseline? +

Yes. Add a rate_limit block to the adb_regression_baseline 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.

How do I block adb_regression_baseline completely? +

Set action: deny in the PolicyLayer policy for adb_regression_baseline. 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.

What MCP server provides adb_regression_baseline? +

adb_regression_baseline 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.

KEEP EXPLORING

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