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

With all annotations false/neutral, the description carries the full disclosure burden and succeeds. It reveals the one-time request_token as the only key to accept scope and post the verdict, clarifies no fee/funding is required, explains the 24-hour clock, and distinguishes automatic read-only builds from human-reviewed money moves. This goes well beyond the structured fields.

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

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

The description is longer than the minimal ideal, but every sentence carries essential operational information: purpose, returns, token handling, prerequisites, timing, and safety. It is front-loaded with the purpose and could be tightened into bullets, but it is not bloated or repetitive.

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

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

With no output schema and no helpful annotations, the description names all key return values and their roles, states the account prerequisite, clarifies there is no fee/funding, and warns about the 24-hour clock and human review. An agent has enough information to invoke the tool correctly and handle the response.

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

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

The input schema has 100% parameter descriptions, so the schema already documents the parameters well. The tool description reinforces workflow concepts like app_url being sufficient alone and improvements being sendable later via bb_request_change, but it does not add significant per-parameter semantics beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

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

The description states a specific action: 'file BB-REQUEST — name a financial app your human uses and what it should do BETTER; CyMetica's AI pipeline rebuilds it on EventTrader.' It also names the outputs (ticket, BB-SPEC, spec_text, request_token), clearly distinguishing it from the other BB_* sibling tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives concrete invocation conditions: the agent's account must hold at least 100 ET10, nothing is charged or locked, the 24-hour clock starts when the scope is accepted, and money-moving actions are human-reviewed. It does not explicitly name alternative tools for when not to use it, but the context is strong enough for safe selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.