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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered; the description adds useful behavioral context by listing the concrete fields returned (regime label, bias, decision, geo-risk layers, cycle id). It does not mention freshness/latency or how often the regime updates, which would be the main remaining gap for a live-market read.

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?

Front-loaded with the workflow chain, then the content summary, then the trigger condition — a sensible ordering with no filler sentences. Minor clutter from the quoted scenario label, the trailing ellipsis in "panic…)", and an unbalanced quote in "Scenario "What-if", but the payload is compact.

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?

With no output schema, the description carries the burden of describing returns and does so by enumerating the regime label, bias, decision, geo layers, and cycle id. It assumes the reader knows what the "blackboard" is (a sibling read_blackboard exists, so this is partly recoverable), leaving a small gap.

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 takes zero parameters, so the baseline is 4; there is nothing for the description to document or compensate for. The description correctly implies a no-argument call.

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?

States a specific verb+resource: retrieves the current market regime (Kraken BTC/EUR range/up/down/panic) and enumerates the payload (bias, GO/WAIT/CLOSE decision, geo-risk layers, 4-hour cycle id). It is clearly distinguishable from siblings like get_bias or get_decision, though it doesn't explicitly say how it differs from them.

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?

"Call this when you need the regime label or the cycle id for the blackboard" gives an explicit trigger condition, and the pipeline line positions it before simulate_scenario and get_energy_impact. No when-NOT-to-use guidance or explicit alternative is offered, keeping it below a 5.

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