get_put_call_ratio

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

With no annotations provided, the description carries full burden. It details what the tool returns (ratios for different expirations, volume, open interest, AI sentiment) and how to interpret high/low ratios. It does not mention any limitations, data update frequency, or authentication needs, but adequately discloses behavior for a read-only data retrieval tool.

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 three sentences, each serving a purpose: core function, usage scenarios, and output description plus interpretation. It is front-loaded and concise with no extraneous 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 has one parameter and no output schema, the description adequately covers purpose, usage, output details, and interpretation. It could mention data source reliability or freshness, but overall it is complete enough for an agent to understand and invoke the tool correctly.

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 coverage is 100% with one parameter 'ticker' described as 'Stock ticker symbol'. The description adds context about the data retrieved but does not extend the parameter's meaning beyond the schema. Baseline 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 the tool retrieves put/call ratio data from Barchart to assess market sentiment and options flow, distinguishing it from sibling tools that focus on different analysis areas like insider activity, reddit sentiment, or financial health.

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 explicitly states when to use the tool (analyzing options market sentiment, detecting reversals, understanding hedging) but does not mention when not to use it or compare it to related sibling tools like analyze_reddit_sentiment or analyze_news_and_market_context.

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