get_regime_analysis

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

No annotations are provided, so the description must fully disclose behavior. It only lists output content (regime types, confidence) but omits any behavioral traits (read-only, authentication, rate limits, caching behavior, or potential side effects). This is insufficient for safe invocation.

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?

Two sentences, front-loaded with the core purpose, then details. No extraneous information. Every sentence adds value.

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 explains the output content (regime with confidence) but lacks error handling, rate limits, and context on whether the output is for a single asset or can be batched. With no output schema, the description could be more detailed. It is adequate but has clear gaps.

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% (all three parameters documented). The description adds no additional meaning beyond the schema; it does not clarify parameter interactions (e.g., effect of mode on output) or provide usage examples. 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 it retrieves the current regime classification (trending, mean-reverting, volatile) and includes primary/secondary regimes with confidence scores. This verb-resource pair is distinct from sibling tools like get_market_pulse or analyze_metric.

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 implies this tool is for regime classification, but it does not explicitly state when to use versus alternatives (e.g., for short-term vs long-term regimes) or when not to use it. No exclusions or alternative tools are mentioned.

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