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Add Model Relationship

add_relationship

Add a relationship between two mental models from the HUMMBL Base120 framework, specifying type, confidence level, and supporting evidence.

Instructions

Add a relationship between two mental models with evidence.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
source_codeYesSource model code
target_codeYesTarget model code
relationship_typeYesType of relationship (e.g., 'enables', 'reinforces')
confidenceYesConfidence level: A=High, B=Moderate, C=Hypothesis
evidenceNoEvidence supporting this relationship

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
successYes
relationshipYes
Behavior2/5

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

No annotations exist, so the description must disclose behavior. It only says 'Add' without details on idempotency, side effects, or permissions. Does not clarify if evidence is required or optional (it is optional per schema).

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 a single, clear sentence with no wasted words. It is efficiently front-loaded.

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, including enums and patterns, and no annotations, the description lacks sufficient context for confident use. It omits behavioral details and usage context, though output schema exists.

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% with descriptions for all parameters. The tool description adds no extra meaning beyond the schema. Baseline score of 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?

The description clearly states the action 'Add a relationship' between mental models with evidence. It is specific and distinguishes from siblings like 'get_related_models' which retrieves rather than creates.

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 is provided on when to use this tool versus alternatives, such as 'get_related_models' or when to add relationships. Missing context like prerequisites or when not to use.

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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