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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds useful behavioral context (results are ordered newest first and include stock pairings), but it never mentions pagination even though limit/offset exist, which matters for a list tool returning an open-world dataset.

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 with zero filler, and the core result shape (coins + stock pairings, newest first) is front-loaded ahead of the optional filters.

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 no output schema, the description does helpfully sketch the return shape (stock pairings) and default ordering. But for a list endpoint with limit/offset, the absence of any pagination note leaves a real gap an agent would hit in practice.

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% across 4 parameters, so the description carries the full burden. It clarifies from_assistant and market, but limit and offset receive no explanation at all, leaving half the parameters undocumented anywhere.

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 the resource (launched coins), the ordering (newest first), and the returned enrichment (stock pairings), which is more than a restatement of the name. It does not name the sibling it could be confused with (get_coin for a single coin), so differentiation is implicit rather than explicit.

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 implies usage via its two optional filters ('only coins launched from an assistant, or only coins in one market'), which tells the agent when to narrow results. However, it gives no when-to-use guidance relative to siblings like get_coin or list_markets, and no exclusions.

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