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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds that the result is a discrete BUY/SELL/HOLD classification derived from price and trending data, which is useful, but it says nothing about data freshness, confidence, signal thresholds, or rate limits. With annotations carrying the safety burden, a 3 is appropriate.

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?

A single, front-loaded sentence with zero filler. It is tightly sized, though the extreme brevity is part of why usage and behavioral context are thin rather than a structural flaw in itself.

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?

An output schema exists, so return values need not be explained, and annotations cover the safety profile. However, for a prediction tool sitting among several closely related predict.* and token.* siblings, the definition omits the basis of the signal and any guidance that would let an agent distinguish it from token.sentiment or token.trending.

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 description coverage is 100%: both 'chain' (with its full enum list) and 'token' (symbol or 'native') are already documented in the schema, including defaults. The description adds no parameter-level detail beyond the conceptual inputs, so the baseline 3 applies.

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 specific verb and resource ('Token momentum prediction') and names the concrete output (BUY, SELL, or HOLD) plus its inputs (price change and trending activity). This distinguishes it from predict.gas, predict.liquidity, and predict.whale_move, though it does not explicitly contrast itself with the similarly themed token.sentiment and token.trending.

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?

There is no when-to-use guidance, no prerequisites, and no mention of alternative tools such as token.sentiment, token.trending, or the other predict.* siblings. The agent must infer the use case entirely from the one-line summary.

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