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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the agent knows this is a safe read operation. The description adds that the output includes confidence and flags to watch, which is useful but does not disclose additional behavioral traits like data freshness or how the regime is computed. No contradiction 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 a single sentence that is mostly concise and front-loaded with the core purpose. The parenthetical example list and the addition of 'confidence + flags to watch' make it slightly run-on, but it remains efficient and readable.

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 parameters and no output schema, the description carries the burden of explaining the return value. It mentions regime, confidence, and flags, but 'flags to watch' is vague and undefined. For a simple zero-parameter tool, it is adequate but could provide more detail on the output structure or interpretation.

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?

There are zero parameters, and the schema is empty with 100% coverage. Baseline for a zero-parameter tool is 4. The description adds no parameter information, but none is needed.

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 provides the current market regime inferred from Reddit chatter, with concrete examples of regime types. It is specific about the resource and output, though it does not explicitly differentiate from sibling tools like reddit_alpha_signals.

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 the tool is used when you want a synthesized market regime from Reddit sentiment, but it does not explicitly state when to use it over alternatives (e.g., flow_summary or market_events) or mention any exclusions. No alternative tools are referenced.

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