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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds genuine behavioral context beyond them: data provenance ('sourced from major exchanges'), freshness ('refreshed frequently'), and fixed coverage of 16 named assets. The cadence is vague, but this is useful disclosure for a price-freshness-sensitive tool.

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?

Two sentences, front-loaded with what is returned before provenance. The long asset enumeration is dense but genuinely informative for coverage checking, and no sentence is wasted.

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 must convey return values, and it does (USD spot price plus 24-hour percentage change). It also covers coverage, source, and refresh cadence. Minor residual gaps: no output shape/ordering detail and no mention of stale-data or error behavior.

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. The description correctly implies a parameterless, whole-market snapshot ('for all 16 tracked crypto assets'), but adds no parameter detail because none exists.

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 states a specific verb ('Get'), resource ('current spot prices'), scope ('all 16 tracked crypto assets'), units (USD) and an additional returned field (24-hour percentage change). It enumerates the tracked assets, which makes it easy to distinguish from siblings like get_asset_flows or get_cefi_index.

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?

Usage is implied by the snapshot nature of the call — an agent can infer this is the tool for current price quotes — but there is no explicit when-to-use, no alternatives named, and no exclusions relative to the four sibling analytics/flow tools. Minimum viable guidance.

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