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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), but the description adds genuinely useful context beyond them: the trial is free, the license key is shared, and the tool never connects to exchanges or places orders. It also discloses the return payload, which matters since no output schema exists.

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?

Three sentences, front-loaded with the key fact (free during trial) and what is returned. The engine feature list ('walk-forward, Monte Carlo, sensitivity, and RL') is slightly promotional and longer than strictly needed, but it stays brief overall.

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 parameters and no output schema, the description carries the burden of explaining the return payload — and it does, listing the image, instructions, and license key. The only gap is that it does not explain what to do with the returned artifacts beyond a general pointer to backtesting.

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 tool takes zero parameters, so there is nothing for the description to disambiguate. The baseline for a parameterless tool is 4; the description correctly avoids inventing parameter semantics.

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 names a specific verb ('Returns') and enumerates exactly what is returned: the official Docker image (with registry path), step-by-step install instructions, and a shared Pro trial license key for self-hosting the RLXBT engine. No sibling tool offers anything comparable, so an agent can distinguish it immediately.

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?

It supplies clear context for use — 'Use RLXBT to test hypotheses found with AIPP analogues' — which situates it in a workflow with the sibling analysis tools. It does not, however, state when NOT to call it or name a specific alternative, so it falls short of a 5.

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