analyze_next_block

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

With no annotations provided, the description carries the full burden of behavioral disclosure. While it lists prediction outputs, it fails to disclose critical behavioral traits: that predictions are based on current mempool state, whether the operation is read-only/safe, if results are cached or real-time, or prediction confidence intervals.

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, efficiently structured sentence that front-loads the action verb 'Predict' and uses a colon-delimited list for outputs. Every word earns its place with zero redundancy or filler.

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 the zero-parameter schema and existing output schema (which handles return value documentation), the description adequately covers core functionality. However, for a prediction tool, it lacks operational context regarding data sources (mempool) and prediction methodology that would be necessary without annotations.

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 input schema contains zero parameters. Per evaluation guidelines, 0-parameter tools receive a baseline score of 4, as there are no parameter semantics to describe beyond the empty schema.

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 the tool predicts the 'next block' and enumerates specific prediction targets (transactions, weight utilization, miner revenue, fee percentiles, top-fee txs). The 'next block' scope distinguishes it from sibling 'analyze_block' (likely historical) and 'analyze_mempool' (current state), though it doesn't explicitly clarify this distinction.

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 is provided on when to use this tool versus alternatives like 'analyze_mempool' (which likely provides input data) or 'estimate_smart_fee'. There are no prerequisites mentioned regarding node synchronization or mempool data availability required for accurate predictions.

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