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GetQueryBuilderPrompt

Retrieve the system prompt for RushDB's query builder when your MCP client lacks Prompts API support, enabling database query construction.

Instructions

Return the RushDB Query Builder system prompt. Use this if your MCP client does not support Prompts API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The handler for the 'GetQueryBuilderPrompt' tool. It returns the SYSTEM_PROMPT imported from './systemPrompt.js' as the text content of the tool response.
    case 'GetQueryBuilderPrompt':
      return {
        content: [
          {
            type: 'text',
            text: SYSTEM_PROMPT
          }
        ]
      }
  • The schema definition, description, and registration entry for the 'GetQueryBuilderPrompt' tool in the exported tools array.
    {
      name: 'GetQueryBuilderPrompt',
      description:
        'Return the RushDB Query Builder system prompt. Use this if your MCP client does not support Prompts API.',
      inputSchema: { type: 'object', properties: {}, required: [] }
    },
  • tools.ts:33-33 (registration)
    The 'GetQueryBuilderPrompt' tool name is defined in the ToolName type union.
    | 'GetQueryBuilderPrompt'
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool returns a system prompt, implying a read-only operation, but doesn't clarify if it's static content, requires authentication, has rate limits, or details the return format. For a tool with no annotations, this leaves significant behavioral gaps.

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

Conciseness5/5

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

The description is two sentences, front-loaded with the core purpose and followed by usage guidance. Every sentence adds value without redundancy, making it efficient and well-structured for quick understanding.

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

Completeness3/5

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

Given the tool's simplicity (0 parameters, no output schema), the description is adequate but incomplete. It explains what the tool does and when to use it, but without annotations or output schema, it lacks details on behavioral aspects like return format or constraints. For a read operation, this is minimally viable but has clear gaps.

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

Parameters4/5

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

The tool has 0 parameters, and schema description coverage is 100%, so there are no parameters to document. The description doesn't need to add parameter semantics, and it appropriately doesn't mention any. Baseline for 0 parameters is 4, as it avoids unnecessary details.

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 clearly states the tool's purpose: 'Return the RushDB Query Builder system prompt.' It specifies the verb ('Return') and resource ('RushDB Query Builder system prompt'), making the action explicit. However, it doesn't differentiate from sibling tools, as no other tools appear to retrieve system prompts, but this isn't explicitly stated.

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

Usage Guidelines4/5

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

The description provides clear usage context: 'Use this if your MCP client does not support Prompts API.' This gives a specific scenario for when to use the tool. It doesn't mention alternatives or exclusions, but the guidance is direct and practical for the given condition.

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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