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

With no annotations, the description carries the behavioral disclosure burden. It usefully discloses that the tool is a live stream and that historical access is paid, but it does not mention whether the operation is read-only, what the response contains, or any rate limits or auth requirements.

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 sentences with no fluff; the description is front-loaded with the tool's purpose. The cryptic 'K3 event stream' costs some clarity, but overall the wording is compact and efficient.

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 simple event-feed tool with no output schema and no annotations, the description gives the essential purpose and a pricing constraint. However, `since` remains ambiguous, the return shape is not described, and the 'K3' reference is unexplained, leaving notable gaps an agent may need to resolve.

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 schema documents `types` but leaves `since` undocumented. The description adds meaning to `since` by implying recency controls the free/paid boundary, but it does not specify units or expected format. It partially compensates for the 50% schema coverage but not fully.

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 identifies a live feed resource and names specific contents: fresh launches, graduations, whale big-buys. It conveys that this is an event stream rather than a validation or scoring tool, but it does not explicitly distinguish itself from sibling tools.

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 free 30-minute window and paid historical access imply when this tool is appropriate: use it for recent events without cost. However, it does not state when to avoid it or which sibling tools should be used instead, so the practical routing guidance is only implied.

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