Loading ToolBench
AI-driven testing framework using Model Context Protocol (MCP) with Playwright integration for context-aware test verification
Three tools with basic schemas and minimal descriptions. All tools have input schemas with type definitions, but descriptions are generic (10-50 chars) and lack actionable context. No output schemas documented. Parameters lack constraints (enums, ranges, formats). No error handling guidance. Tools lack composition clarity, unclear how they chain together or what data flows between them. No security considerations visible. Naming is acceptable (verb_noun pattern) but descriptions fail to explain WHEN to use each tool or what distinguishes them.
Analyze page context for intelligent test generation
Generate a context-aware test plan based on page analysis
Verify page state matches expected conditions using browser automation
Descriptions are too short (10-50 chars) and lack actionable context. 'Verify page state matches expected conditions' does not explain WHEN to call this vs analyze_context, what assertions are valid, or what the response contains.
No output schemas documented. LLMs cannot plan downstream calls or extract required fields. verify_page returns VerificationResult, but the schema is not declared in the tool definition.
Parameters lack constraints. 'assertions' is an array of strings with no format, length, or content guidance. 'url' has no validation (must be valid HTTP/HTTPS URL). 'objective' is unconstrained free text.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 44 | 2026-07-28+ | v2 |
No error handling guidance. Tool implementations return mock data (e.g., 'passed: true' always). No recovery hints for invalid URLs, network failures, or assertion failures. LLM cannot self-correct.
Tool composition unclear. No documentation of how verify_page, analyze_context, and generate_test_plan relate or chain. Response fields do not include IDs or references needed by downstream tools.