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

With no annotations provided, the description carries the full burden, and it does disclose content-level behavior: returned flags come with a fixed taxonomy of six mechanism labels, which tells the agent what categories exist and hints at detection logic. It also embeds a '$0.02' cost hint. It does not describe output shape, ordering, or read-only status, but the label taxonomy is genuine behavioral context beyond what the tool name conveys.

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 compact sentence, and the mechanism-label enumeration is high-value information that earns its place. However, the leading '$0.02' is unexplained and could be misread as a parameter, cost, or version token — it adds noise without earning its position.

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 tool with no annotations, no output schema, and 0% parameter coverage, the description omits how rug events relate to the recent_graduations/recent_launches siblings and what the response looks like. The label taxonomy is genuinely helpful, but an agent would still be guessing about result shape, default behavior, and when this tool is the right choice.

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%, so the description must compensate for the undocumented limit and window_s parameters, but it never mentions either. 'Recent' loosely implies a time window and the schema defaults (50, 3600) carry the actual meaning, yet the description itself adds zero parameter-level semantics.

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 resource — recent rug/close flags — and enumerates the six mechanism labels returned (creator_sold, bundle_dumped, curve_drained, pool_drained, curve_closed_low, migrate_below_grad), giving an agent a concrete picture of the result set. It is distinguishable from sibling tools like recent_launches and recent_graduations via the 'rug' framing, though it never names a sibling explicitly. The '$0.02' prefix is cryptic noise but does not obscure the core purpose.

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 on when to use this tool versus the sibling recent_graduations or recent_launches; an agent must infer that 'rug' events are a distinct post-launch category. There are no prerequisites, no exclusions, and no mention of alternative tools for graduated or launched tokens.

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