Loading ToolBench
Meta-Cognitive Process server for Chungoid Bootstrapper providing ChromaDB collection management, document operations, and intelligence tools integration
This MCP server has 19 tools with highly inconsistent quality. ChromaDB tools (1-10) have reasonable schemas and descriptions, but intelligence tools (11-19) have critical deficiencies: missing parameter descriptions, undocumented object-type parameters, and vague naming. Tool descriptions average 120 chars (below the 194-char baseline for A+ tools). Many parameters lack type constraints or validation guidance. No tool demonstrates idempotent hints, destructive hints, or other current-spec annotations. Overall definition quality is below median for production servers.
Analyze historical patterns for planning insights.
Analyze execution patterns and generate learning insights.
Apply learning recommendations from pattern analysis.
Adds multiple documents to a collection in the project-specific ChromaDB instance. Enhanced version of standard chroma_add_documents with project context awareness.
Creates a new collection in the project-specific ChromaDB instance. Enhanced version of standard chroma_create_collection with project context awareness.
Gets the document count for a collection.
Intelligence tools (11-19) have severely underdescribed object-type parameters. 'baseline_strategy', 'test_strategy', 'failure_context', 'project_context', 'current_context', 'execution_plan' lack any schema or description guidance. LLMs cannot infer what object structure to pass.
Intelligence tools lack descriptions explaining WHEN to use them. 'analyze_patterns_and_learn' vs 'analyze_historical_patterns' vs 'predict_failures' are semantically unclear, LLM will struggle to select the right one.
No tools declare readOnlyHint, destructiveHint, or idempotentHint annotations per current MCP spec (2026-07-28). Tools like 'chroma_create_collection' and 'chroma_add_documents' are destructive/write operations, should signal this via toolAnnotations to guide agent retry logic.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | F | 42 | 2026-07-28+ | v2 |
| 2026-03-09 | F | 33 | - | v1 |
Gets detailed information about a collection.
Retrieves specific documents from a collection by ID or with metadata filtering.
Gets comprehensive status information about a project's ChromaDB setup and collections.
Initializes all standard project collections for a Chungoid project. This tool creates all the standard collections needed for autonomous project operation, replacing the initialization functionality from ProjectChromaManagerAgent_v1.
Lists all collections in the project-specific ChromaDB instance. Enhanced version of standard chroma_list_collections with project context awareness.
Queries documents in a collection using semantic search and filtering. Enhanced version of standard chroma_query_documents with project context awareness.
Sets the project context for ChromaDB operations and validates setup. This tool establishes the project context that will be used by all subsequent ChromaDB operations, ensuring proper isolation and resource management.
Create comprehensive recovery plans for failures.
Create A/B testing experiments for strategy optimization.
Get real-time performance metrics and analysis.
Generate performance optimization recommendations.
Optimize agent resolution with performance monitoring.
Predict potential failures based on current context.
ChromaDB tools lack output schema documentation. No tool description states what fields are returned. LLMs need to know what fields to expect so they can plan downstream tool calls.' This forces agents to guess or invoke blindly.
No error handling guidance in any tool description. Agents are left without recovery strategies.
ChromaDB tools accept optional 'project_path' and 'project_id' parameters but descriptions do not explain dependency: do both default to None? Do they have a precedence order? What happens if only one is provided?
Tools like 'analyze_patterns_and_learn' have no minimum/maximum constraints on numeric parameters ('time_window_days'). 'time_window_days: 1 - 365'.
Intelligence tool parameters use generic names like 'baseline_strategy', 'test_strategy' as bare object types. 'baseline_strategy: object' tells LLMs nothing about required/optional fields, structure, or allowed keys. Should use a more specific type name or enum, or document the object schema inline.