get_clearing_volume

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

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses almost nothing: no indication of aggregation level, units, whether results are cached, or permission requirements. The word 'Retrieve' implies a read, but that is the only behavioral signal.

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?

A single short clause with zero filler, and the resource is front-loaded. It is efficient, though the brevity edges toward under-specification rather than true conciseness.

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?

With no output schema, the description should describe what the metrics contain (units, granularity, shape of the response), and it does not. For a metrics endpoint with two optional filters and no annotations, this leaves the agent guessing at the result semantics.

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 chainId and timeRange are already documented in the schema, and the description adds no format, default, or accepted-value detail. Baseline 3 applies when the schema does the heavy lifting.

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 clear verb+resource: retrieve clearing volume metrics. An agent can tell it reads volume data rather than intents, invoices, or quotes. However, it does nothing to distinguish itself from near-neighbors like get_liquidity_flow, which likely also returns aggregated metric data.

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?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives among the ten sibling tools. The agent must infer that this is the volume-metrics tool purely from the name.

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