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Ultrabrain Start

ultrabrain_start

Initiate a reasoning session to analyze a problem step by step, with an optional initial thought to guide the chain.

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 only include readOnlyHint=false, which is consistent with creation. However, the description does not disclose whether starting a session with an existing session_id overwrites or raises an error, nor does it mention any behavioral traits like side effects or limitations.

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 that quickly conveys the tool's main action. It is efficient but could benefit from structuring usage context.

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 and no output schema, the description leaves out important context such as what 'branded LCV' means, what the session creation returns, and how the seeding mechanic works. The agent lacks sufficient completeness to use the tool effectively.

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?

The input schema covers 88% of parameters with descriptions. The description mentions 'optionally seed the first thought', which aligns with the initial_thought parameter but adds no new 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.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Create a branded LCV Ultrabrain reasoning session', specifying the verb (create) and resource (session). It distinguishes from siblings that perform other operations like analyze, merge, etc.

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?

The description implies usage for starting a new session but provides no explicit guidance on when not to use it or alternatives among siblings. It is adequate but lacks differentiation strategies.

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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