Loading ToolBench
A Go framework for building composable AI workflows with middleware support, MCP server integration, and tool management
The 'greet' tool is extremely minimal and lacks the comprehensiveness required for production use. While it has a name, description, and basic schema, the description is far too brief (20 chars), the schema is underspecified (missing required array), and there are no error handling patterns, output schema documentation, or composition guidance. The tool appears to be a toy example rather than a production-grade implementation. The codebase shows extensive infrastructure (OpenTelemetry, vector DBs, LLM integrations) but the single exposed tool is not production-ready.
Greets a person by name
Description is too brief (20 characters: 'Greets a person by name'). Does not explain WHEN to use this tool, what it returns, or any prerequisites. LLMs cannot distinguish between similar tools with such sparse descriptions.
No documented output/return schema. LLMs need to know what the 'greet' tool returns to plan downstream actions. Baseline expectation: all A+ tools document return types.
Input schema is minimal and incomplete. The schema shows only the 'name' parameter as a string, but lacks 'required' array declaration and does not specify constraints (min/max length, format, or allowed values). Baseline: parameters should have clear constraints to guide LLM input.
No error handling guidance. What happens if 'name' is empty, null, or excessively long? What error messages does the tool return? Baseline: error responses must guide the LLM on recovery actions.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | F | 47 | 2026-07-28+ | v2 |
| 2026-03-09 | F | 25 | - | v1 |
Single tool with generic naming. 'greet' is a verb but lacks noun specificity. Compare 'greet' to production patterns like 'send_greeting', 'create_greeting_message', or 'generate_personalized_greeting'. Current naming is too generic and does not convey the tool's precise purpose.
No parameter description. While the input schema includes 'name' with type 'string' and a brief description, it lacks guidance on format expectations. Is 'name' a full name, first name, display name, or email? Baseline: every parameter must have a clear, context-rich description.