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VelixarAi

Velixar MCP Server

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by VelixarAi

velixar_patterns

Identify recurring problem-solution motifs from memory. Omit topic to list all patterns. Supports dismissing specific patterns.

Instructions

Surface recurring problem/solution motifs from memory. Omit topic to return all detected patterns. Supports dismiss action.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results (default 5)
topicNoTopic to find patterns for (optional — omit for all patterns)
actionNoAction (default: list)
evidenceNoInclude supporting memory IDs (default false)
pattern_idNoPattern ID to dismiss (required for dismiss action)
min_confidenceNoMinimum confidence threshold (0-1)
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only mentions 'Supports dismiss action', implying mutability, but does not clarify side effects, permissions, or response behavior. This is insufficient for a tool with no annotation safety net.

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

Conciseness5/5

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

The description is two sentences long, front-loads the core purpose, and every word adds value. It is a model of conciseness.

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 6 parameters, no output schema, and no annotations, the description is too sparse. It does not explain return format, confidence thresholds, or the 'evidence' parameter's output, leaving the agent under-informed for correct usage.

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?

The schema covers all parameters with descriptions (100% coverage), so the baseline is 3. The description adds value by explaining the 'topic' omission behavior and the 'dismiss' action, but does not elaborate on 'limit', 'evidence', or 'min_confidence', which are left to the schema.

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 uses the verb 'Surface' and specifies the resource 'recurring problem/solution motifs from memory', which clearly indicates the tool's purpose. It is distinct from sibling tools like velixar_search or velixar_list by focusing on patterns rather than raw data.

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 provides a usage hint: 'Omit topic to return all detected patterns', which helps the agent decide when to use the topic parameter. However, it lacks explicit guidance on when not to use this tool or alternatives among the many sibling tools.

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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