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

With no annotations, the description carries the full burden and does so thoroughly: refresh cadence (every 15 minutes), disclosure of data age in every response, explicit caveat that thresholds are uncalibrated and this is observation data, not signals or financial advice, plus the paid-per-call x402 mechanics including $0.005 USDC on Base and the automatic payment challenge/retry flow.

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?

Front-loads the core purpose and trigger condition, then stacks operational details efficiently. Some phrasing is padded ('Machine-readable monitoring feed for agents tracking early on-chain activity') and the em-dash chain makes it dense, but no sentence is purely redundant.

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?

There is no output schema, yet the description enumerates the returned fields (pool name, hourly volume, spike ratio, price move, source link), and it covers units, cadence, data-age disclosure, disclaimers, and billing. An agent has everything needed to call and interpret it.

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 100%, so both limit and window_hours are already fully documented in the schema. The description mentions a 15-minute sweep and hourly spike logic but adds no syntax, format, or meaning for either parameter beyond what the schema provides.

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 and scope: volume-anomaly observations across newly created BSC pools from a 15-minute sweep, including the exact trigger condition (hourly volume spike vs prior hour, floor $1,000 and 100x). An agent understands precisely what this returns, though it never names or distinguishes itself from event_facts, market_state, or ping.

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?

Names the intended consumer ('agents tracking early on-chain activity'), which implies when it applies, but gives no explicit when-not conditions, no prerequisites, and no comparison against the sibling tools. Usage context is implied rather than prescribed.

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