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

With no annotations, the description carries the burden of behavioral disclosure. It does say the output is a 'live computed signal' and describes the transformations, which is useful. However, 'Turns raw seri Price 0.01 via x402 (USDC on Base)' is incomplete and likely refers to pricing/credits, but the agent cannot reliably infer cost, authentication, rate limits, update cadence, or what happens to the input series.

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 first two sentences are compact and informative, but the final sentence is truncated ('Turns raw seri') and confusing, and the title/name mismatch ('processed_worldtension' vs 'Finance Signal Bundle') adds no organizational value. The garbled sentence earns negative credit.

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?

The tool has no output schema, no annotations, and a large sibling family with potentially overlapping risk-related tools. The description explains the computation but skips return shape, data source, update frequency, access costs, and the likely pricing mechanism hinted by 'Price 0.01 via x402'. An agent would not be fully equipped to call or interpret the tool correctly.

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% for the single optional wallet parameter, so the schema already documents parameter meaning. The description adds no additional nuance about the wallet field, its relationship to the 'X-Wallet free tier' mentioned in the schema, or how it affects the signal, but the baseline of 3 is appropriate because 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?

The description names a concrete resource ('global risk') and the kind of output ('30-period percentile rank, 4-period momentum, and a plain-language trend verdict'), so an agent can tell it is a computed analytical layer over risk data rather than raw data. It does not explicitly differentiate it from similar siblings like processed_geopol_risk or signal_geo_risk, and the closing sentence 'Turns raw seri Price 0.01 via x402' is garbled enough to reduce clarity.

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 gives no guidance on when to choose this tool over alternatives such as processed_geopol_risk or signal_geo_risk. It describes what the tool computes but not the conditions, use cases, or exclusions that should drive selection.

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