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

Annotations are absent, so the description should disclose behavioral traits. It does not mention whether the tool is read-only, idempotent, or requires specific authentication (beyond implying an API key). No information on side effects, cost implications, or rate limits is provided, leaving behavioral uncertainty.

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?

The description is concise (one sentence), but it omits important details. It is front-loaded with key data points, yet the brevity sacrifices clarity and completeness. Every word is informative, but more structure (e.g., listing parameters or usage context) would improve it.

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?

Given the lack of output schema and annotations, the description should fully explain the tool's behavior and return values. It mentions some fields (supply, dominance, peg status) but does not specify the output format, error handling, or the significance of the '$0.01' cost hint. The description is incomplete for an AI agent to use correctly.

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 0%, and the description does not explain the 'api_key' parameter. While an API key is a common parameter, its purpose, format, and where to obtain it remain undocumented. The description adds no semantic meaning beyond the schema.

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 it provides a stablecoin market overview with supply, dominance, and peg status, which is specific enough to convey the tool's purpose. However, it lacks a clear verb (e.g., 'get' or 'retrieve') and does not differentiate it from siblings like get_coin or get_price, which might also return stablecoin data.

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?

No guidance is provided on when to use this tool versus alternatives. The description does not mention typical use cases, prerequisites, or exclusions. Without any context, an AI agent cannot decide when to select this tool over others.

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