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Hebbrix

Hebbrix MCP Server

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by Hebbrix

hebbrix_contradictions

Detect contradicting facts in a knowledge graph. Use to validate ambiguous information before trusting it. Optionally scan a specific memory.

Instructions

Surface contradicting facts in the knowledge graph (e.g. two different values for the same attribute). Pass a memory_id to check one memory, or omit to scan. Use before trusting a fact that feels ambiguous.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
memory_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so description carries full burden. Describes behavior (surfacing contradictions, scanning if no memory_id) but does not explicitly state that it is read-only or safe. Adequate but minimal; could add more detail on side effects.

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?

Two sentences, front-loaded with purpose and example, no redundant information. Highly efficient.

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

Completeness5/5

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

With only one optional parameter and an output schema present, the description covers purpose and usage completely. No missing essential context.

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

Parameters4/5

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

Schema has 0% description coverage, but description adds meaning by explaining memory_id's role and optionality. Does not provide format or constraints, but clear enough for use.

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 tool surfaces contradicting facts in the knowledge graph with a concrete example, distinguishing it from sibling tools like hebbrix_graph_query or hebbrix_search.

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

Usage Guidelines4/5

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

Provides explicit when-to-use ('before trusting a fact that feels ambiguous') and how to parameterize (pass memory_id or omit). Lacks explicit when-not or alternative tool mentions, but sufficient for context.

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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