Loading ToolBench
Testing and quality assurance tools for AI agents via MCP
Server has 5 tools with complete input schemas and descriptions. Naming follows verb_noun convention (generate_*, analyze_*). Descriptions are present and substantive (100-200 chars typical). However, output schemas are NOT documented, LLMs cannot predict return structure. Parameter descriptions are adequate but lack format constraints (e.g., max count limits not enforced in descriptions). No error handling guidance. No tool annotations (readOnlyHint, etc.). Composition is sound, each tool has one responsibility. Missing: output schema documentation, actionable error messages, and per-parameter validation rules.
Parse source code and test code to identify untested functions. Suggests which functions need tests most based on complexity, export status, and parameter count.
Generate mock API responses from a schema. Creates realistic JSON responses for REST endpoints based on field names and types.
Given expected and actual values (as JSON strings), generate detailed assertion code with descriptive messages. Supports deep object comparison, array comparison, and type checking.
Generate realistic mock data: names, emails, addresses, dates, UUIDs, phone numbers, company names, credit cards (fake), IP addresses. Configurable count and locale.
Generate test cases from a function signature. Produces happy path, edge cases, error cases, and boundary value tests as Jest/Vitest test code.
Output schemas not documented. LLMs cannot predict return structure (fields, types, nesting). Agents cannot plan downstream tool calls or extract data reliably.
Parameter constraints not enforced in descriptions. 'count' accepts 1 - 1000 but description lacks min/max. 'status_code' accepts any number but should be 100 - 599. LLMs may pass invalid values.
No error handling guidance. Tools return text responses but no recovery hints. If 'signature' is malformed or 'fields' schema is invalid, LLM gets no actionable error message.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | D | 58 | 2026-07-28+ | v2 |
No tool annotations. All tools are read-only (no state mutation) but lack readOnlyHint. Agents cannot distinguish safe-to-retry tools from destructive ones.
Parameter 'types' in generate_mock_data is array of strings but items schema is incomplete. No description of valid type values (name, email, address, etc.). LLMs must infer from tool description.