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zwczwczwc

Chroma MCP Server

by zwczwczwc

chroma_create_collection

Set up a new vector collection with adjustable HNSW settings and select an embedding function (OpenAI, Cohere, etc.). Add metadata as needed.

Instructions

Create a new Chroma collection with configurable HNSW parameters.

Args:
    collection_name: Name of the collection to create
    embedding_function_name: Name of the embedding function to use. Options: 'default', 'cohere', 'openai', 'jina', 'voyageai', 'ollama', 'roboflow'
    metadata: Optional metadata dict to add to the collection

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
metadataNo
collection_nameYes
embedding_function_nameNoopenai_compat
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It fails to disclose side effects, idempotency, error behavior, or required permissions. The mention of HNSW parameters is misleading as they are absent from the actual parameters.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is moderately concise with an Args section. It could be tightened by removing the redundant 'Args:' header and integrating the parameter descriptions more efficiently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema and no annotations, the description should explain return value and error cases. It does not describe what is returned on success or failure conditions. The HNSW parameter mention is unsubstantiated.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so description must explain parameters. It adds meaning for collection_name, embedding_function_name (with options list), and metadata. However, the default value for embedding_function_name ('openai_compat') is omitted from the listed options, creating inconsistency.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Create a new Chroma collection') and distinguishes from sibling tools (which handle listing, querying, deletion). However, it misleadingly mentions 'configurable HNSW parameters' which are not reflected in the actual parameters.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives (e.g., modification or deletion tools). No mention of prerequisites or when not to use (e.g., if collection already exists).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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