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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds meaningful behavioral context by listing what the tool returns (active regime, FOMC facts, live market snapshot, etc.), the example output, and the cost ('$0.50 USDC per call'). No contradictions with annotations.

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 compact at four sentences, with the use case front-loaded and each sentence adding distinct information (trigger, return contents, example, price). There is slight redundancy around 'regime label' appearing in both the use case and the example, but no meaningful waste.

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 zero-parameter, read-only tool with no output schema, the description covers the essential context: when to use it, what it returns, an example, and pricing. It does not explain response formatting or interpretation, but the list of output components is sufficiently informative for an agent to select and invoke the tool.

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 input schema is empty (0 parameters), so there is nothing for the description to clarify about parameters. Schema description coverage is 100% vacuously. The description appropriately focuses on use case and outputs rather than parameters, matching the baseline for a zero-parameter tool.

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 uses a specific verb ('get') and resource ('macro playbook') and clearly states the use case: 'when a trader or portfolio manager needs current regime label and tactical positioning.' It enumerates the return content (active regime, FOMC facts, market snapshot, etc.), giving a concrete sense of what the tool does. However, it does not explicitly differentiate from siblings like get_macro_market_signal or get_trader_signals, so it stops short of full differentiation.

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 opening 'Use when a trader or portfolio manager needs current regime label and tactical positioning' provides a clear trigger condition for when to invoke the tool. It does not, however, state when not to use it or name alternative tools, leaving some ambiguity among the large sibling list. This is clear context without explicit exclusions.

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