Loading ToolBench
A server for AI sequential thinking processes using thought branching and dynamic hypothesis generation
Both tools have minimal descriptions (under 20 chars), no parameter descriptions, and lack output schema documentation. Tool names use underscores but lack clear action verbs (dynamic_thought_branching is vague; hypothesis_generation lacks a verb). Input schemas are present but parameters are undescribed. No error handling guidance, no idempotency hints, no composition support. This server falls well below production baseline.
Branching thought
Generating hypothesis for context
Tool descriptions are under 20 characters ('Branching thought', 'Generating hypothesis for context'). LLMs cannot determine when/why to select these tools.
No parameter descriptions. The 'thought' and 'context' parameters lack any explanation of expected format, constraints, or purpose. LLMs cannot infer parameter meaning from names alone.
No output schema documented. Tool execute() methods return plain strings ('Branching thought: ...', 'Generating hypothesis for context: ...'). LLMs need structured output schemas to plan downstream calls and extract data reliably.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 35 | <=2025-11-25 | v2 |
Tool names lack clear action verbs. 'dynamic_thought_branching' is vague (does it create, analyze, or retrieve branches?). 'hypothesis_generation' omits a verb entirely.
No error handling guidance. Tool execute() methods have no validation, no error classification (retryable vs fatal), and no recovery hints. LLMs receive only success paths.