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VelixarAi

Velixar MCP Server

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by VelixarAi

velixar_search_neighborhood

Retrieve memories related to an anchor memory, categorized as forward, backward, or lateral relationships based on vector similarity.

Instructions

Find memories near a known memory in vector space. Classifies results as forward (newer chain links), backward (older), or lateral (related but independent).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results (default 5)
directionNoFilter by relationship direction (default: all)
memory_idYesAnchor memory ID to search around
exclude_idsNoMemory IDs to exclude (already seen)
min_similarityNoMinimum similarity threshold 0-1
Behavior3/5

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

No annotations provided, so the description carries the burden. It discloses classification into forward/backward/lateral and mentions vector space. However, it does not mention read-only nature, performance implications, or required permissions.

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?

The description is a single, front-loaded sentence that efficiently conveys the core purpose without wasted words. Slight deduction for not explicitly linking direction parameter to enum.

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?

With 5 parameters and no output schema, the description lacks information on return structure, pagination, or how to interpret results. It feels incomplete for a tool of this complexity.

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 coverage is 100%, so the input schema already describes all parameters. The description does not add additional meaning beyond what the schema provides, resulting in baseline score of 3.

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

Purpose5/5

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

The description clearly states the action 'Find' and the resource 'memories near a known memory in vector space', and distinguishes from siblings like velixar_search by specifying vector space proximity and directional classification.

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

Usage Guidelines3/5

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

The description implies use for proximity search with directionality, but does not explicitly state when to use this tool versus alternatives like velixar_search or velixar_graph_traverse.

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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