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Ultrabrain Analyze

ultrabrain_analyze
Read-onlyIdempotent

Analyze reasoning sessions to assess quality, confidence, bias counts, label counts, unresolved questions, and get recommendations.

Instructions

Analyze quality, confidence, bias counts, label counts, unresolved questions, and recommendations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idNoOptional reasoning session id. Defaults to "default".
response_formatNoResponse format.
Behavior3/5

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

Annotations already declare readOnlyHint, destructiveHint, and idempotentHint. The description adds the list of analysis aspects but does not disclose additional behavioral traits like requiring an existing session or output format.

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?

A single 12-word sentence is concise and front-loaded. However, it could be more structured to improve readability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and simple parameters, the description partially explains what the tool returns. It does not clarify that it operates on a specific session (session_id parameter) or provide examples of output, leaving some ambiguity.

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% and parameters are self-documented. The description adds no extra meaning about parameters beyond their schema definitions.

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 verb 'Analyze' is specific and the description lists concrete aspects (quality, confidence, etc.), avoiding tautology. However, it does not clearly distinguish from sibling tools like ultrabrain_metrics or ultrabrain_review, which may have overlapping purposes.

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. The description does not mention prerequisites, context, or exclusions.

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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