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DynamicEndpoints

pocketbase-mcp-server

test_tool

Execute and validate database interactions using this MCP tool for PocketBase. Perform schema testing, data validation, and advanced operations to ensure database integrity and functionality.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • Primary registration and handler implementation for the 'test_tool'. This inline async function executes the tool logic, returning a JSON-formatted success message with timestamp.
    this.server.tool(
      'test_tool',
      {
        description: 'A simple test tool that always works to verify tool registration'
      },
      async () => {
        return {
          content: [{
            type: 'text',
            text: JSON.stringify({
              message: 'Test tool working!',
              timestamp: new Date().toISOString(),
              totalRegisteredTools: 'This should increase the count if registration works'
            }, null, 2)
          }]
        };
      }
    );
  • Handler implementation for 'test_tool' specifically in Cloudflare Worker mode within the executeToolOnServer switch statement.
    case 'test_tool':
      return {
        content: [{
          type: 'text',
          text: JSON.stringify({
            message: 'Test tool working!',
            timestamp: new Date().toISOString(),
            totalRegisteredTools: 14,
            environment: 'cloudflare-worker'
          }, null, 2)
        }]
      };
  • Input schema definition for 'test_tool' in the hardcoded tools list response (empty object schema).
      name: 'test_tool',
      description: 'A simple test tool that always works to verify tool registration',
      inputSchema: {
        type: 'object',
        properties: {}
      }
    },
  • Registration of the 'test_tool' using this.server.tool() in the setupTools() method of PocketBaseMCPAgent.
    this.server.tool(
      'test_tool',
      {
        description: 'A simple test tool that always works to verify tool registration'
      },
      async () => {
        return {
          content: [{
            type: 'text',
            text: JSON.stringify({
              message: 'Test tool working!',
              timestamp: new Date().toISOString(),
              totalRegisteredTools: 'This should increase the count if registration works'
            }, null, 2)
          }]
        };
      }
    );
Behavior1/5

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

Tool has no description.

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

Conciseness1/5

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

Tool has no description.

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

Completeness1/5

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

Tool has no description.

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?

Tool has no description.

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

Purpose1/5

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

Tool has no description.

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

Usage Guidelines1/5

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

Tool has no description.

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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