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

Annotations only say readOnlyHint/openWorldHint; the description goes further by disclosing the $1 USDC x402 cost, the conditional no-charge rule, and the async sequencing where the core source is checked and charged before the job is queued. It also flags the educational, not-advice framing. It stops short of describing latency or failure/refund behavior beyond the one charge condition.

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?

Purpose and output inventory are front-loaded in a single dense but readable sentence, followed by short billing/async notes. Every clause carries information, though the long compound first sentence is close to overloaded.

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, the description appropriately enumerates the return payload (bias, confidence, levels, scenarios, PDF) and covers cost, charging, and async mechanics. Gaps remain around the 'pair' argument format and what happens when optional parameters are omitted, but the agent has enough to invoke it correctly.

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?

Schema coverage is 75% and already documents pdf (default true), async (job id plus core-source check) and webhook_url. The description largely restates the async/charge linkage rather than adding new parameter semantics, and 'pair' is undocumented in both places (format, supported venues). Baseline 3 fits given the schema does most of the work.

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?

States a concrete verb+resource (crypto technical outlook for a pair) and enumerates exactly what is produced: indicators on 1h/6h/1d, order-book depth and imbalance, funding, news and prediction-market sentiment, combined into bias, confidence, S/R/invalidation levels, scenarios and a PDF. This clearly separates it from raw-data siblings like crypto_indicators, crypto_orderbook or report_token.

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?

Implied usage is clear (a synthesized multi-source outlook report), and it explains the async path plus the no-charge condition when too few sources answer. But it never names an alternative tool or states when to pick this over crypto_indicators, perps_funding or token_verdict, leaving the routing decision to inference.

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