observability_loki_query

A execute tool on the MCP Framework Personal MCP server.

SERVERMCP Framework Personal SOURCEinggerman/mcps

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/inggerman-mcps/observability-loki-query.md

WHAT IT DOES

What observability_loki_query does on MCP Framework Personal

AI agents invoke observability_loki_query to trigger actions in MCP Framework Personal. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why observability_loki_query is rated High

The name suggests querying Loki (a log aggregation system). 'Query' operations are typically Read, but Loki query APIs can execute LogQL queries that may have side effects or expose sensitive log data. With no description available, there is uncertainty. The most likely interpretation is Execute (running a query against a log system), but it could be Read.

From the tool's definition Tool name 'observability_loki_query' — description is empty and uninformative.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs observability_loki_query safely

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

observability_loki_query Rate-limited

observability_loki_query stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "observability_loki_query": {
      "limits": [
        {
          "counter": "observability_loki_query_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about observability_loki_query

What does the observability_loki_query tool do? +

observability_loki_query is a execute tool on the MCP Framework Personal MCP server. It is categorised as a Execute tool in the MCP Framework Personal MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on observability_loki_query? +

Register the MCP Framework Personal MCP server in PolicyLayer and add a rule for observability_loki_query: 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 MCP Framework Personal. Nothing to install.

What risk level is observability_loki_query? +

observability_loki_query is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit observability_loki_query? +

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

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

observability_loki_query is provided by the MCP Framework Personal MCP server (inggerman/mcps). 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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