Loading ToolBench
MCP Server for intelligently routing coding tasks between local LLMs and free or paid APIs
The server defines 7 tools with basic structure, but exhibits critical quality gaps across naming, descriptions, and schemas. Tool names are moderately clear (route_task, benchmark_task, benchmark_model) but some are ambiguous (benchmark_tasks vs benchmark_task creates confusion, similar names that LLMs conflate). Descriptions are present but generic and often under-informative, most lack actionable guidance on WHEN to call the tool or what it returns. Input schemas are partially defined: parameters have type and description, but output schemas are absent entirely. Error handling is minimal, no guidance on recovery, retryability, or what the LLM should do if a benchmark fails. The tools cluster around benchmarking and routing with some conceptual overlap (benchmark_task, benchmark_tasks, benchmark_model, benchmark_free_models) that could confuse agent planning. Parameters lack constraints (e.g., no enum for model IDs, no bounds on taskCount). Security: no explicit mention of API key handling or permission checks in the visible code.
Benchmark all available free models from OpenRouter to identify optimal cost-free options
Run comprehensive benchmarks on a specific model using a standardized test suite
Benchmark a single task against local and paid models to evaluate performance
Benchmark multiple tasks against available models to evaluate and compare performance
Cancel an ongoing task and its associated jobs
Get the current status of a routed task and its execution progress
No output schemas documented for any tool. LLMs cannot plan downstream calls or understand what data they will receive. This violates the 'document the output schema' critical check and breaks tool chaining.
Four tools implement benchmarking (benchmark_task, benchmark_tasks, benchmark_model, benchmark_free_models) with overlapping purposes. Names like 'benchmark_task' vs 'benchmark_tasks' vs 'benchmark_model' create naming ambiguity, LLMs conflate tools with similar names when they could be unified or clearly distinguished.
Descriptions lack actionable guidance. Most are 40-60 characters and describe WHAT the tool does, but not WHEN to call it or what it returns. E.g., 'Get the current status of a routed task and its execution progress' does not explain when to poll, what statuses are possible, or how to interpret 'progress'.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | F | 46 | <=2025-11-25 | v2 |
| 2026-03-09 | F | 40 | - | v1 |
Route a coding task to the optimal provider (local LLM or paid API) based on complexity, cost, and quality thresholds
No parameter constraints (enums, ranges, patterns) defined. 'models' parameter accepts arrays but no validation on model IDs. 'priority' enum exists on route_task but similar constraints missing elsewhere (e.g., taskCount has no bounds, no default minimum).
Error handling absent. No indication of what errors can occur, whether they are retryable, or what the LLM should do next. E.g., benchmark_free_models, what if OpenRouter is unreachable? No guidance for recovery.
Irreversible operation cancel_task lacks confirmation or dry-run pattern. No indication that cancellation is destructive or reversible. Agents could accidentally cancel critical tasks.