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ahmedselimmansor-ctrl

IBM Cloud MCP Server

logging_get_config

Retrieve the logging configuration for your account in a specified region. Use this to view current settings and ensure compliance.

Instructions

Get logging configuration for the account

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
regionNo

Implementation Reference

  • The handler for the 'logging_get_config' tool. It performs a GET request to the IBM Cloud Logging API endpoint using the region from the config or the optional 'region' parameter, wrapped in safeTool for error handling.
    server.tool("logging_get_config", "Get logging configuration for the account", {
      region: z.string().optional(),
    }, async (p) => safeTool(() => client.get(`${IBM_ENDPOINTS.LOGGING(p.region||r)}/config`)));
  • The input schema for 'logging_get_config': an optional 'region' parameter validated with z.string().optional().
    region: z.string().optional(),
  • Registration of the 'logging_get_config' tool via server.tool() in the registerObservabilityTools function.
    server.tool("logging_get_config", "Get logging configuration for the account", {
  • src/server.ts:95-96 (registration)
    The tool is registered by calling registerObservabilityTools(server, client, config) in the main server creation function.
    registerObservabilityTools(server, client, config);
    console.error(`  ✓ Observability (5 tools)`);
  • The safeTool helper wraps the handler, catching any errors and returning proper MCP success/error responses.
    export async function safeTool<T>(fn: () => Promise<T>): Promise<ReturnType<typeof successContent> | ReturnType<typeof errorContent>> {
      try {
        const result = await fn();
        return successContent(result);
      } catch (error) {
        return errorContent(error);
      }
    }
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are given, so the description must carry the burden of transparency. It only states the operation is a 'get', implying read-only, but provides no details on side effects, permissions, rate limits, or what the configuration entails.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that is concise and front-loaded. However, it is too brief, sacrificing completeness for brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has one optional parameter, no output schema, and no annotations, the description is minimal. It does not explain the return value, parameter effect, or any operational context, making it incomplete for an AI agent to use confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has one parameter (region) with no description, and the tool description does not mention or explain this parameter. With 0% schema description coverage, the description fails to add any meaning beyond the parameter name.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Get logging configuration for the account' which clearly indicates the action (get) and resource (logging configuration). However, it does not specify what aspect of logging configuration (e.g., COS, LogDNA), making it slightly ambiguous among potential logging tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like logging_list_instances or monitoring_get_config. There is no mention of prerequisites, scope, or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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