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YARlabs

HyperspaceDB MCP Server

Official
by YARlabs

hyperspace_create_collection

Create a new vector collection with a specified dimension, distance metric, and quantization level; returns the collection configuration as JSON.

Instructions

Setup new memory spaces (collections) with specific vector dimension, metric geometry, and quantization level. Returns the created collection config as JSON result.

Input Schema

NameRequiredDescriptionDefault
metricNoDistance metric: l2, cosine, poincare, lorentz, hybridcosine
dimensionNoVector dimension (e.g., 1024)
collectionYes
quantizationNoQuantization level: none, medium, medium_plus, turbo, extrememedium_plus
encryption_keyNoOptional client-side AES-256-GCM + Isometric projection key for zero-knowledge encryption

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv4.2.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses that the created config is returned, but omits key mutation behavior: whether duplicate collection names error, whether creation requires permissions, and whether setup is reversible or destructive to existing state.

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

Conciseness4/5

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

Two sentences, front-loaded with the core action and scope, with no wasted wording. Minor imprecision from using 'Setup' rather than a direct creation verb.

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

Completeness3/5

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

Given no annotations and no output schema, the description correctly notes a JSON return, covering output expectations. However, for a create mutation it is incomplete on uniqueness, permissions, and failure modes, leaving meaningful gaps.

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

Parameters3/5

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

Schema description coverage is 80%, so the schema already documents metric, dimension, quantization, and encryption_key. The description repeats the main fields but adds no syntax or default semantics beyond what the schema provides; baseline 3 is appropriate.

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?

States a specific verb and resource: creating collections with dimension, metric, and quantization. This clearly distinguishes it from list/delete collection siblings, though it doesn't explicitly name alternatives.

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 versus sibling tools like hyperspace_list_collections or hyperspace_insert_text, nor any prerequisites such as the collection being absent or required before inserts.

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