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Ultrabrain Branch

ultrabrain_branch

Branch out from a prior thought to explore alternative reasoning paths while tracking assumptions, evidence, and quality metrics.

Instructions

Create or continue an Ultrabrain branch from a prior thought.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoReasoning mode.
tagsNoOptional tags.
risksNoKnown risks.
thoughtYesCurrent Ultrabrain reasoning step.
evidenceNoEvidence supporting this thought.
branch_idYesBranch identifier.
max_depthNoMaximum planned depth.
step_typeNoReasoning step category.
confidenceNoConfidence from 0 to 1.
hypothesisNoExplicit hypothesis for this step.
session_idNoOptional reasoning session id. Defaults to "default".
assumptionsNoAssumptions to track.
budget_modeNoReasoning budget mode.
budget_usedNoBudget used percentage from 0 to 100.
depth_levelNoCurrent depth for serial reasoning.
is_revisionNoWhether this step revises an earlier thought.
perspectiveNoOptional perspective, such as reviewer, maintainer, security, UX, or operator.
alternativesNoAlternative paths or options.
next_actionsNoConcrete next checks or implementation actions.
verificationNoVerification approach or result.
bias_detectedNoKnown cognitive bias to track.
open_questionsNoUnresolved questions.
parent_thoughtNoOptional parent thought reference.
thought_numberYesCurrent thought number in the chain.
total_thoughtsYesEstimated total thoughts. Adjust this as scope changes.
expected_outputNoExpected output from the reasoning chain.
meta_checkpointNoMarks an explicit meta-reasoning checkpoint.
quality_metricsNoQuality scores from 0 to 5.
response_formatNoResponse format.
revises_thoughtNoThought number being revised.
branch_from_thoughtYesThought number where this branch starts.
needs_more_thoughtsNoAllows thought_number to exceed total_thoughts when scope expands.
next_thought_neededYesSet to false only when this chain has reached a verified conclusion.
Behavior2/5

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

Annotations indicate no read-only, open-world, idempotent, or destructive hints, so the tool is expected to mutate state. However, the description adds no behavioral details beyond 'create or continue'—e.g., what happens if the branch already exists, or what side effects occur. Annotations are unhelpful (all false), and the description fails to fill the gap.

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

Conciseness2/5

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

The description is a single sentence that is too terse given the tool's complexity (33 parameters, 8 siblings, nested objects). While it front-loads the purpose, it lacks necessary details to guide agent usage, making it under-specified rather than concise.

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 the high complexity (33 parameters, no output schema), the description is incomplete. It does not explain return values, side effects, or how branching relates to the main reasoning chain. Many parameter descriptions in the schema are sparse, and the tool description offers no synthesized guidance.

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%, so baseline is 3. However, many parameter descriptions are minimal (e.g., 'Reasoning mode.' for 'mode', 'Optional tags.' for 'tags'), adding little beyond the parameter name. Some, like 'next_thought_needed', are more informative. The tool description itself adds no parameter-level context.

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 the tool's action ('Create or continue') and resource ('Ultrabrain branch from a prior thought'). It effectively distinguishes from siblings like ultrabrain_start (start new) and ultrabrain_merge (merge branches), which are named in the sibling list.

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 when branching from a prior thought, but does not explicitly state when to use this tool versus alternatives like ultrabrain_start or ultrabrain_think. No comparative guidance is provided, leaving the agent to infer context from the tool name alone.

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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