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

With no annotations, the description carries the full burden, and it does disclose one important trait: the tool is pay-per-call at $0.005 USDC, which an agent needs for payment-gating decisions. It does not cover auth requirements beyond payment, rate limits, error behavior, or whether the snapshot is cached/live, leaving real gaps for a paid endpoint.

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?

Front-loaded with the payload description and metrics list, then the optional parameter defaults, then the route and price. Nearly every clause earns its place, though the raw route path '-> /x/crypto/analytics/:symbol' is internal plumbing that adds little for a tool-calling agent.

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, so the description must convey the return shape, and it does by naming the four analytics fields. It stops short of describing value formats (e.g., trend states up/down/sideways are given, but volatility units and range-position scaling are not), which would complete the picture for a no-output-schema tool.

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%, so the schema already documents all three parameters including the interval enum and limit bounds. The description restates the same defaults (1h, 168) without adding syntax care or interpretation guidance, 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 resource (analytics snapshot for a crypto coin) and enumerates the actual metrics returned (realized volatility, trend direction, relative volume, range position), which meaningfully differentiates it from siblings like crypto_ohlcv and crypto_indicators even though those siblings are not named. An agent can infer this is the derived-metrics aggregator, not the raw candle feed.

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 only implied: the agent infers it should call this when it wants a compact summary of volatility/trend/volume rather than raw data. The pay-per-call cost hint ($0.005 USDC) is a useful selection signal. However there is no explicit when-not guidance or named alternative against crypto_ohlcv, crypto_indicators, or crypto_deep, which all sound adjacent.

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