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

With no annotations, the description carries the full burden and does well: it discloses the x402 paywall, the exact price ($0.05 USDC), where payment must be attached (_meta), that charges occur only on success, and that stale data is refused at no cost. It omits only refresh cadence and return-shape details.

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 tight sentences. The cost/payment banner comes first, then payload, then billing and error semantics — every clause carries information an agent needs before calling.

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?

There is no output schema and no annotations, yet the description enumerates the returned fields and fully explains the payment failure mode. Minor gaps remain around data freshness cadence and whether the call is strictly read-only.

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 the baseline is 4; there is no parameter surface the description needs to or fails to explain.

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?

Names the concrete payload — live open positions with entry, stop loss, take profit, last price, and 24h events — which is far more specific than the name 'get_signals' alone. It distinguishes itself from read-only history siblings by emphasizing 'live' data, though it never explicitly contrasts with get_history or get_status.

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 on when to prefer this over sibling tools such as get_history or follow_events. The only conditional it states is the payment error behavior, which is a mechanic, not a use-case routing rule.

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