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

With no annotations, the description carries the full behavioral burden; it does disclose a 300s cache and the returned key mapping (b/e/s/a/t), which is genuinely useful context. However, it says nothing about rate limits, auth, staleness semantics, or what happens for unsupported assets, leaving gaps a zero-annotation tool should ideally close.

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?

It is a single tight sentence plus a key legend, front-loaded with the metric and asset list. The leading price framing ('$0.007 — ... at $0.01') consumes space and is slightly ambiguous, but nothing else is wasteful.

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?

For a zero-param, no-output-schema tool, the description covers the metric definition, asset scope, cache TTL, and response keys, which is enough to call and parse it. Remaining minor gaps are the timestamp unit and whether the ATR value is a percent number or a fraction.

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 there is nothing for the description to disambiguate; baseline 4 applies. The key legend (b=BTC, e=ETH, s=SOL, a=AVAX, t=timestamp) is in fact output-field documentation, not parameter documentation.

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 names the concrete metric (14-day ATR as % of price) and the exact asset universe (BTC/ETH/SOL/AVAX), which is far more specific than the name 'vol_tick' alone. It does not explicitly contrast itself with near-neighbors like btc_price_tick or market_tick, so sibling differentiation is left to inference.

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?

The phrase 'ultra-minimal volatility tick' hints at a cheap/lightweight volatility check, but there is no explicit when-to-use guidance, no when-not-to-use, and no named alternative among the many volatility-adjacent siblings. The agent must infer the selection criteria on its own.

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