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boolean.build_and_test

Compiles a subgraph into Boolean rules and finds baseline attractors for network analysis.

Instructions

Compile the subgraph to Boolean rules and find baseline attractors.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYes
subgraph_edgesYes
subgraph_nodesYes
Behavior2/5

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

No annotations are provided, and the description lacks behavioral details such as side effects, required permissions, or performance impacts. It only states the core action without elaboration.

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

Conciseness3/5

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

The description is a single concise sentence, but it is too short and lacks structure. It could be expanded to include key details without losing 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?

Given no output schema, low schema coverage, and no annotations, the description fails to provide essential context about return values, prerequisites, or typical usage patterns.

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

Parameters1/5

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

The input schema has 3 parameters but 0% description coverage. The description does not explain what session_id, subgraph_edges, or subgraph_nodes mean, leaving the agent with only parameter names.

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 tool compiles a subgraph into Boolean rules and finds baseline attractors. It uses specific verbs and resources, and distinguishes from siblings like boolean.augment_compare.

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 explicit guidance on when to use this tool versus alternatives. The context signals and sibling names suggest related tools, but the description provides no such comparison.

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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