get_market_sentiment

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

Without annotations, the description carries the full burden and explains the returned metrics well (index range, funding rate interpretation, crowd positioning). However, it does not mention that this is a read-only operation or any potential rate limits or data freshness, which would enhance transparency.

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 efficiently summarizes the tool's output. It could benefit from slight structural improvements (e.g., bullet points), but it is front-loaded and wastes no words.

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?

Given the tool's simplicity (no parameters) and the presence of an output schema, the description fully explains the return values—defining the Fear and Greed index range, funding rate sign meaning, and long/short ratios. This covers all necessary context for an agent to use the tool effectively.

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 no parameters, and schema description coverage is 100% (vacuously). According to the rule for 0 parameters, baseline is 4. The description does not need to add param info, and it correctly focuses on the output.

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 market sentiment indicators, explicitly listing the Fear and Greed index, funding rates for BTC/ETH/SOL, and long/short ratios. This verb+resource combination is specific and distinguishes it from sibling tools like get_market_brief and get_signal.

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 usage for obtaining sentiment data but does not provide explicit guidance on when to use this tool versus alternatives (e.g., get_market_brief for a broader overview, get_signal for trading signals). No exclusions or when-not-to-use context is given.

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