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

With no annotations, the description carries the full behavioral burden. It discloses the ~15-min delay, which is a critical data freshness trait, and explicitly lists the data fields returned (price, day change %, range, volume). This gives the agent a clear picture of what to expect. It does not mention read-only status, but that is implied by 'get' and the nature of quotes. It also does not discuss rate limits or authentication, but those are common and not required for a basic quote tool. Overall, it provides meaningful behavioral context beyond the name.

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 a single sentence that front-loads the essential information: what is returned, the asset scope, and the key data points. Every element earns its place — the ticker examples, the list of fields, and the delay note. There is no fluff, no repetition, and no unnecessary explanation. It is tightly written and immediately readable.

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 that the tool has no parameters and no output schema, the description does a good job of conveying the return content and the asset universe. It mentions the delay, which is relevant for usage decisions. It could go slightly further by stating whether the response is a list or a single object, but the listed fields are sufficient for an agent to infer the shape. For a simple quote tool, this is reasonably complete, though not exhaustive.

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 has zero parameters, so there is nothing for the description to clarify beyond what the schema already shows (an empty object). Per the rubric, the baseline for 0 parameters is 4, and the description does not introduce any confusing parameter behavior. It adds no parameter-specific semantics because none exist, so the baseline is appropriate.

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 clearly states a specific verb ('get'), a specific resource ('stocks' limited to crypto-related equities and ETFs), and enumerates the exact tickers (COIN, MSTR, miners) and asset classes. It also lists the data fields (price, day change %, range, volume), which distinguishes it from the sibling tools that focus on derivatives, funding, liquidations, etc. The scope is unambiguous and immediately differentiates it from the rest of the set.

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 description gives no explicit guidance on when to use this tool versus alternatives. It does not name any sibling or state conditions like 'use this for equity quotes, not for crypto perps'. The implication is that it is for stock/ETF quotes, but there is no direct statement of when to select it over, for example, get_market_brief or get_top_traders. The agent must infer the use case from the content alone.

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