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Ultrabrain Review

ultrabrain_review
Read-onlyIdempotent

Render a reasoning session as summary, linear chain, tree, markdown, or JSON. Specify session ID and limit for structured output.

Instructions

Render a reasoning session as a summary, linear chain, tree, markdown, or JSON.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
formatNo
session_idNoOptional reasoning session id. Defaults to "default".
Behavior3/5

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

Annotations already indicate read-only, idempotent, non-destructive behavior. The description adds context about rendering formats but does not disclose other behavioral aspects such as whether the session must exist, the size of returned data, or the effect of the 'limit' parameter. With annotations covering safety, the description provides some additional value but not rich 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 of 15 words, front-loading the key verb 'Render'. It is efficient and avoids redundancy. However, given the number of siblings and parameters, slightly more detail could be included without sacrificing conciseness.

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?

The tool has 3 parameters, no output schema, and many siblings. The description does not clarify the return type of the rendering (e.g., string, JSON object), nor does it explain the 'limit' parameter or that a session must exist. This leaves significant gaps for an agent to correctly invoke the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is low (33%, only session_id has a description). The description only implies the 'format' parameter by listing output types, but it omits 'mermaid' from the list despite being in the enum. The 'limit' parameter is not explained, and 'session_id' is already described in the schema. The description adds minimal meaning beyond the schema for a low-coverage scenario.

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 verb 'Render' and the resource 'reasoning session', and lists possible output formats. However, it does not distinguish this tool from siblings like ultrabrain_export or ultrabrain_status, which could also render or output data. The specificity is good but sibling differentiation is absent.

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?

The description provides no guidance on when to use this tool versus alternatives such as ultrabrain_export (for exporting) or ultrabrain_history (for history). There is no mention of prerequisites (e.g., a session must exist) or typical use cases. The score reflects the lack of any usage direction.

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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