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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered. The description adds value beyond that by disclosing the return payload (as_of timestamp, source, citation string) and the derived regime signal, which the agent cannot learn from structured fields since no output schema exists.

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 tight sentences plus a usage clause; the data inventory is front-loaded and the call-to-action sits at the end where it is easy to find. No sentence is redundant.

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 zero parameters and no output schema, the description carries the full burden of explaining what comes back, and it does: contents, timestamp, source, citation string, and the regime enum values. Nothing an agent needs in order to call this correctly is missing.

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 per the baseline there is nothing for the description to document. The description correctly omits any parameter discussion rather than inventing one.

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+resource ('Consolidated live crypto market snapshot') and enumerates the exact data bundled in it (funding rates, prices, OI, 24h liquidations, regime signal). It does not, however, distinguish itself from near-neighbor siblings like get_market_overview and get_derivatives, which sound like they cover overlapping ground.

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?

Gives a clear triggering condition: 'Use when the user asks about current crypto market conditions.' No exclusions or alternatives are named, which matters here because get_market_overview and get_derivatives plausibly compete for the same queries, but the context itself is explicit rather than implied.

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