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

With no annotations provided, the description carries the full burden of disclosing behavior. It does reveal that the output includes a 30-period percentile rank, 4-period momentum, and a trend verdict, which is useful. However, it does not clarify whether this is a paid x402 transaction, what the 'Price 0.01' means, how data is sourced, whether the 'live' claim has caveats, or what happens on request. The garbled payment/price fragment adds confusion instead of transparency.

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 short, but the structure is poor: the useful analytic details are front-loaded, yet the closing sentence 'Turns raw series into d Price 0.01 via x402 (USDC on Base)' reads like a corrupted or truncated fragment that wastes its final words and undermines clarity. It is under-specified rather than concisely informative.

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?

For a tool that returns computed signal values, the absence of an output schema increases the burden on the description to explain what the agent will receive. The description lists three component signals, which helps, but it omits the instrument source (Danish National Bank), currency, date range, response shape, and the meaning of the x402/USDC payment mention. An agent cannot confidently use this tool or interpret its result from the description alone.

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?

There is only one parameter, wallet, and the input schema describes it fully, including the free-tier distinction between anonymous and bound wallets. Schema description coverage is 100%, so the baseline of 3 applies. The description adds no parameter semantics beyond the schema, but it does not need to for this single optional parameter.

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 starts with 'Finance Signal Bundle - get live computed signal' and lists FX analytics outputs, so it at least names a verb and a general domain. But it never mentions Danish National Bank rates, which is exactly what the tool name identifies, and the trailing phrase 'Turns raw series into d Price 0.01 via x402 (USDC on Base)' is garbled and obscures the actual resource. The stated purpose is too generic to distinguish this from the many other processed_fx_* siblings.

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 explicit guidance is given for when to use this tool versus alternatives such as processed_fx_rates, processed_no_fx_latest, or processed_nordic_ecb_fx. The phrase 'processed analytics layer' weakly implies this is for derived signals rather than raw rates, but that is only an implication, not stated guidance. There are no exclusions, prerequisites, or conditional routing instructions.

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