record_efficiency_observation

A write tool on the Mcpg MCP server.

SERVERMcpg SOURCEpypi:mcpg

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-devopam-mcpg/record-efficiency-observation.md

WHAT IT DOES

What record_efficiency_observation does on Mcpg

AI agents use record_efficiency_observation to create or update resources in Mcpg, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcpg environment.

RISK

Why record_efficiency_observation is rated Medium

The word 'record' implies creating or storing data, which maps to the Write category. However, the empty description significantly lowers confidence. Given the server context (PostgreSQL MCP with analytics tools), this likely writes an observation entry to a database table. Severity is medium as misuse could corrupt monitoring/analytics data, but it's unlikely to be destructive or financial.

From the tool's definition Tool name 'record_efficiency_observation' suggests writing/storing an observation record. Description is empty, providing no additional context.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs record_efficiency_observation safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Mcpg, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For record_efficiency_observation, this is the rule to start with:

record_efficiency_observation Rate-limited

record_efficiency_observation 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": {
    "record_efficiency_observation": {
      "limits": [
        {
          "counter": "record_efficiency_observation_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 Mcpg, apply this rule, and every record_efficiency_observation call is checked against it from then on.

FAQ

Questions about record_efficiency_observation

What does the record_efficiency_observation tool do? +

record_efficiency_observation is a write tool on the Mcpg MCP server. It is categorised as a Write tool in the Mcpg MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on record_efficiency_observation? +

Register the Mcpg MCP server in PolicyLayer and add a rule for record_efficiency_observation: 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 Mcpg. Nothing to install.

What risk level is record_efficiency_observation? +

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

Can I rate-limit record_efficiency_observation? +

Yes. Add a rate_limit block to the record_efficiency_observation 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 record_efficiency_observation completely? +

Set action: deny in the PolicyLayer policy for record_efficiency_observation. 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 record_efficiency_observation? +

record_efficiency_observation is provided by the Mcpg MCP server (pypi:mcpg). 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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Guides

Govern customer-ops agents →Argument validation →Scoped token →