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

With no annotations, the description carries the burden, and it does add some behavioral context by mentioning 'live computed' processing and a 0.01 USDC charge via x402. However, the payment sentence is fragmented ('Turns ra Price 0.01...'), and there is no disclosure of whether payment is required, what the response looks like, or any other side effects.

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 short, but the second sentence is a broken fragment ('Turns ra Price 0.01 via x402 (USDC on Base)') that obscures rather than informs. The useful information is front-loaded, but the garbled tail prevents the structure from being clean.

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?

Although the tool has only one optional parameter and no output schema, the description omits the market scope implied by the name (US stock tech), gives no usage context, and leaves the payment wording unclear. An agent cannot confidently determine when to call it or what exactly it will receive beyond the three named signals.

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 schema already provides 100% coverage for the single optional wallet parameter, including the free-tier credit details, so the description need not add much. It doesn't mention the wallet parameter or connect it to the payment model, but the schema carries that meaning.

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 opening clause states a clear action ('get live computed signal') and names concrete outputs: 30-period percentile rank, 4-period momentum, and a plain-language trend verdict. However, it refers only to 'financial markets' and never mentions US stocks or tech, so it doesn't differentiate it from sibling signal tools like signal_stock_report.

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?

No guidance is given about when to choose this tool over the many processed_* and signal_* siblings. The phrase 'get live computed signal' implies a general use case, but there are no conditions, exclusions, or alternative recommendations.

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