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

With no annotations provided, the description must fully disclose behavior. It explains the tool generates a report (non-destructive read), mentions the cost ($0.10 per call, x402 payment), and describes the data sources. It does not discuss rate limits or error scenarios, but the read-only nature and payment requirement are adequately covered.

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 front-loads the purpose but repeats nearly identical phrases twice, making it longer than necessary. It includes pricing and input summary, but the redundancy harms conciseness. It's adequate but could be more streamlined.

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 complexity of the tool (multiple data sources, no output schema), the description provides a reasonable overview of the report contents (headline, outlook, signals, risks). However, it lacks details on response format and does not fully compensate for the absence of an output schema, leaving some ambiguity for agents.

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 the schema already fully documents both parameters (depth and focus) with defaults. The description adds no new parameter information beyond a brief summary, thus meeting the baseline but not exceeding it.

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 identifies the tool as an AI market intelligence report combining cross-exchange perp derivatives, fused directional signals, and euro-area macro data into a synthesized output. It distinguishes from sibling tools such as crypto_derivatives_radar or macro_snapshot by offering a unified, multi-source report in a single call.

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 states the tool is 'for research and trading agents' and specifies inputs (focus and depth), providing clear context for when to use it. However, it lacks explicit guidance on when not to use it or direct comparisons to alternative tools, though the combined nature implies it's for holistic analysis.

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