search_logs_across_pods

Busca un patrón en logs de múltiples pods. Parámetros: namespace, pattern (str), label_selector (str), tail_lines (int). Retorna: lista de {pod, container, matches, lines}.

SERVERMCP Framework Personal SOURCEinggerman/mcps

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/inggerman-mcps/search-logs-across-pods.md

WHAT IT DOES

What search_logs_across_pods does on MCP Framework Personal

AI agents call search_logs_across_pods to retrieve information from MCP Framework Personal without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why search_logs_across_pods is rated Low

Even though search_logs_across_pods only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

search_logs_across_pods Allowed

search_logs_across_pods is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "search_logs_across_pods": {}
  }
}

ALLOW ONLY 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 search_logs_across_pods call is checked against it from then on.

FAQ

Questions about search_logs_across_pods

What does the search_logs_across_pods tool do? +

Busca un patrón en logs de múltiples pods. Parámetros: namespace, pattern (str), label_selector (str), tail_lines (int). Retorna: lista de {pod, container, matches, lines}. It is categorised as a Read tool in the MCP Framework Personal MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_logs_across_pods? +

Register the MCP Framework Personal MCP server in PolicyLayer and add a rule for search_logs_across_pods: 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 search_logs_across_pods? +

search_logs_across_pods is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit search_logs_across_pods? +

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

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

search_logs_across_pods 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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