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

No annotations are provided, but the description discloses key behavioral aspects: the cost per call ($0.02), the payment challenge mechanism for x402-capable clients, and the alternative API key authentication. It also labels the data as educational and not financial advice, which is transparent about limitations. This exceeds typical transparency for a simple read tool.

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 a single, moderately lengthy string that packs a lot of information: purpose, pricing, payment instructions, and a reference to get_catalog. While it is not overly verbose, it could be more concise by separating the payment details into a distinct section. The structure is logical, moving from function to access to cost.

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 description provides sufficient context for a user to understand what the tool does, how to access it, and what to expect. It mentions the data content (market regime, Fed-speech, BIS, prediction-market, geopolitical intelligence) and clarifies it is educational. It does not specify the exact output format, but since there is no output schema, this is not a major gap. The reference to get_catalog for further details adds completeness.

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 tool has no parameters, and the schema reflects that with an empty properties object. The description does not add parameter-specific semantics because there are none to explain. Given the schema coverage is 100% (no missing parameters), the baseline score of 3 is appropriate.

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's function: a one-call read for macro data, including current market regime and latest entries from Fed-speech, BIS, prediction-market, and geopolitical intelligence. It distinguishes itself from sibling tools by combining multiple data sources into a single snapshot.

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 explains when to use this tool (as a macro one-call read) and provides essential usage instructions, including payment methods and authentication options. It also directs users to the free get_catalog tool for browsing all tools and prices, which serves as an alternative for discovery. It does not explicitly compare against other get_* tools, but the purpose is clear enough.

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