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decision_get

Destructive

Retrieve a decision graph node and all nodes connected to it via edges in either direction, enabling exploration of design relationships.

Instructions

Get a Decision Graph node and every node connected to it by an edge in either direction.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesDecision Graph node id.
Behavior1/5

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

Description claims a read operation ('Get'), but annotations have destructiveHint: true and readOnlyHint: false, indicating potential side effects. This contradiction renders the description misleading.

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?

Single sentence, front-loaded with the key verb and resource, no unnecessary words.

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?

No output schema, yet description does not specify the response format (e.g., structure, pagination). The contradictory destructive hint also undermines completeness.

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 a single parameter 'id' described as 'Decision Graph node id'. Description adds no further meaning beyond the schema, achieving baseline.

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?

Description clearly states the tool gets a Decision Graph node and all connected nodes via edges. This is specific and distinguishes from sibling tools like decision_list and decision_add.

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?

Description implies the tool is used to retrieve a node and its connections, but provides no explicit guidance on when to prefer this over other decision tools or when not to use it.

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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