predict_crypto_price

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

With no annotations provided, the description carries the full burden. It does disclose the auto-payment via x402 and the cost range, which is valuable behavioral context. However, it doesn't describe what the response contains (e.g., predicted direction, target price, confidence) or how failures/refunds are handled, leaving important transparency gaps.

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 two sentences, front-loaded with the core purpose, and every sentence adds relevant information (supported assets, payment mechanism). It is concise and well-structured with no wasted words.

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?

Given the tool has no output schema and no annotations, the description leaves out critical context about what the prediction output looks like. It also doesn't address prerequisites, rate limits, or how it relates to other prediction tools. The payment and supported assets are helpful, but overall the description is incomplete for a tool that returns variable results based on the 'type' parameter.

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 100% and all three parameters have enums and descriptions, so the schema already documents them well. The description adds the supported asset list (redundant with schema) and mentions 'prediction type' without elaborating, adding minimal semantic value 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 clearly states the tool gets an AI prediction for a supported cryptocurrency, and lists the supported assets. However, it doesn't differentiate from sibling prediction tools like predict_direction, predict_full_report, or predict_multi_asset, leaving some ambiguity about when this specific tool should be chosen.

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 provided on when to use this tool versus alternatives. There's no mention of conditions like needing a funded x402 wallet, or scenarios where another prediction tool (e.g., predict_direction for a quick direction-only call) would be more appropriate. The payment requirement is mentioned but without context on prerequisites.

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