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Ultrabrain Start

ultrabrain_start

Initiate a structured reasoning session for engineering thought, with options to seed initial thought, add context, and set template.

Instructions

Create a branded LCV Ultrabrain reasoning session and optionally seed the first thought.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idNoOptional reasoning session id. Defaults to "default".
problemYesProblem or decision to reason about.
contextNoRelevant context.
templateNoOptional template id from ultrabrain_templates.
tagsNo
initial_thoughtNoOptional first thought.
total_thoughtsNoEstimated total thoughts for the seeded chain.
response_formatNoResponse format.
Behavior2/5

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

Annotations indicate it is not read-only, not destructive, and not idempotent, but the description adds little beyond 'create'. It does not disclose whether re-creating an existing session overwrites it, what side effects occur, or permissions needed. The description purely states the action without behavioral context.

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

Conciseness4/5

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

The description is a single sentence, concise and directly stating the core function. It is front-loaded with the primary action. However, it could be slightly improved by structuring information like expected output or usage notes without increasing length.

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 8 parameters, no output schema, and a tool for starting sessions, the description should set expectations about what the tool returns or how the session behaves. It lacks details on state changes, success/error conditions, or interaction with other tools. The minimal description leaves gaps for an AI agent.

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 high (88%), so the schema already documents parameters well. The description only adds minimal semantic context by referencing 'seed the first thought' for the initial_thought parameter. For the other 7 parameters, the description provides no additional meaning, making it adequate but not enhancing.

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 creates a branded LCV Ultrabrain reasoning session with optional seeding. It differentiates from sibling tools like ultrabrain_think or ultrabrain_analyze by focusing on session creation. However, 'branded LCV' is jargon that may not be universally understood.

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 on when to use this tool versus alternatives. It does not mention prerequisites, when not to use it, or any exclusions. For example, it does not clarify if a session should be started before using ultrabrain_think.

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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