get_v1_kaspa_derivatives_chain_density

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

With no annotations, the description carries full burden for behavioral disclosure. It mentions the metric and price, but lacks details on update frequency, response format, or any side effects. The description does not contradict annotations, but omits important behavioral traits.

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 four sentences, each adding distinct value: metric definition, uniqueness, application signal, and pricing. No filler. Front-loaded with the core purpose.

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 no parameters and no output schema, the description adequately explains what the tool measures and its uniqueness. It could optionally describe the output format (e.g., time series), but the core context is sufficient for an agent to decide applicability.

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 has no parameters, and schema_description_coverage is 100% (empty schema). The description adds no parameter info because none exist, so baseline 4 is appropriate. No additional value needed.

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 measures 'chain-blocks vs total DAG blocks per hour', specifying the resource (Kaspa chain blocks) and the metric (ratio). It distinguishes from siblings by highlighting it's a 'unique signal not available from generic block-explorer APIs' and measures 'BlockDAG branching activity'.

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 context through phrases like 'measures BlockDAG branching activity' and 'Chain ratio drift signals DAG-mode shifts', but does not explicitly state when to use this tool versus alternatives among the many Kaspa sibling tools. No when-not or direct comparisons are provided.

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