Loading ToolBench
This server has critical gaps in definition quality. While tool names follow a consistent verb_noun pattern (chroma_list_*, chroma_create_*, etc.), most tools have generic or incomplete descriptions (10-50 chars, well below the 50-200 char optimized range). Parameter descriptions are present but terse. Most critically, input schemas are visible in the code but lack proper JSON Schema type definitions, parameters show Rust types (usize, i32, f32, Value) rather than JSON Schema types, making them unparseable by standard schema validators. The 'process_thought' tool (tool #13) appears to handle internal session management logic unrelated to ChromaDB functionality, suggesting scope creep. Error handling is present in code (e.g., empty documents check) but error descriptions do not guide LLM recovery. Output schemas are inferred from code (mostly strings, counts, or Value objects) but not formally documented.
Add documents to a collection
Create a new collection in ChromaDB
Delete a collection from ChromaDB
Delete documents from a collection by ID
Get the count of documents in a collection
Get information about a collection including count and sample documents
Descriptions are generically short (10-40 chars), well below the 50-200 char production baseline. Examples: 'List collections from ChromaDB' (29 chars), 'Create a new collection in ChromaDB' (36 chars), 'Delete a collection from ChromaDB' (34 chars). These lack context for when to use each tool, prerequisites, or what to do with results. LLMs cannot disambiguate between similar tools (e.g., chroma_get_collection_info vs chroma_peek_collection vs chroma_get_collection_count) without richer descriptions.
Input schemas use Rust type names (usize, i32, f32, Value) instead of JSON Schema types (integer, number, string, object). The schema field in tool definitions shows Rust types like '{"limit":{"type":"usize","description":"..."}}' instead of valid JSON Schema format like '{"type":"object","properties":{"limit":{"type":"integer","description":"..."}}}'. This breaks standard JSON Schema validators and tools that parse MCP schemas.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | F | 44 | <=2025-11-25 | v2 |
| 2026-03-09 | F | 31 | - | v1 |
Retrieve documents from a collection by ID or filter
List collections from ChromaDB
Modify collection properties such as name and metadata
Peek at sample documents in a collection
Query documents in a collection using vector similarity search
Update documents in a collection by ID
Process thought data for session management
Missing parameter constraints for numeric fields. Examples: chroma_list_collections accepts 'limit' (usize) with no stated min/max; chroma_create_collection accepts 'ef_construction' (i32) and 'ef_search' (i32) with no guidance on valid ranges. Parameter descriptions state type but not constraints (e.g., 'Optional limit on number of collections to return' does not specify if limit can be 0, 1, 1000000, or has a default).
Output schemas are not formally documented. Tools return Result<T> where T is inferred from code (strings, usize, serde_json::Value). The MCP tool definition should include an explicit output schema so LLMs know what fields to expect. For example, chroma_get_collection_info returns a JSON object with 'name', 'count', and 'sample_documents' fields, but this structure is not declared in the tool schema.
process_thought tool (tool #13) is out of scope. It manages session state ('session_id', 'thought_number', 'total_thoughts', 'branch_from_thought') unrelated to ChromaDB document operations. This suggests the server conflates ChromaDB tooling with a separate agent reasoning system. The tool name does not start with 'chroma_' and its purpose ('Process thought data for session management') does not align with the server's stated function. This violates single-responsibility principle (pattern:tool).
Error handling does not guide LLM recovery. Examples from code: 'The documents list cannot be empty' (in chroma_add_documents), 'The ids list cannot be empty' (in chroma_update_documents). While these errors are accurate, they do not suggest what the LLM should do next (e.g., 'Please provide at least one document to add. Call chroma_peek_collection to see existing documents.'). Production tools should follow pattern:recovery-guide.
Destructive operations (chroma_delete_collection, chroma_delete_documents) lack confirmation or dry-run support. An agent can call chroma_delete_collection('important_data') and permanently delete data without any confirmation step. Production systems should implement pattern:confirmation-request to prevent catastrophic errors.
Unclear parameter semantics and interdependencies. Examples: chroma_create_collection accepts both 'embedding_function_name' and multiple HNSW parameters (ef_construction, ef_search, max_neighbors, etc.), but it's unclear if all are optional, if some depend on others, or if they apply only when a certain embedding function is selected. Parameter descriptions do not state these relationships.
No pagination guidance for large results. chroma_list_collections accepts limit and offset for pagination, and chroma_get_documents also supports pagination. However, tool descriptions do not state: (a) what the default limit is if omitted, (b) what the maximum limit is, (c) whether pagination is required for large result sets, or (d) whether a 'total_count' or 'has_more' field is returned to enable efficient iteration. Without this, LLMs may fetch incomplete result sets or make inefficient multi-page queries.
Missing tool annotations (readOnlyHint, destructiveHint, idempotentHint) in MCP tool definitions. The code labels tool risks (READ_ONLY, WRITE, DESTRUCTIVE) as comments, but these are not exposed as tool annotations in the MCP protocol. Without proper annotations, LLMs cannot infer which tools are safe to retry and which have irreversible side effects.