options_oi_analytics

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

With no annotations, the description carries the burden of transparency. It mentions it provides analysis for the 3 nearest expiries and claims it covers paid features for free, but does not disclose data freshness, source, or any limitations. No destructive behavior is implied, but a moderate score reflects missing details.

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 well-structured with a clear summary, bullet list of outputs, Args, and Examples. The marketing sentence about Sensibull adds slight verbosity but is not excessive. Every section has a purpose, and the content is front-loaded.

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 an output schema (context signal), the description need not explain return values. It adequately covers inputs, outputs, and usage examples. With no annotations, it could be more complete about usage context, but overall it provides sufficient information for an AI agent to select and invoke the tool.

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 0%, so the description must compensate. It describes the 'symbol' parameter with examples (NIFTY, BANKNIFTY, RELIANCE, TCS) but does not specify case sensitivity, format constraints, or validation rules. The examples provide some meaning but lack thorough semantics.

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 'Advanced options OI analytics' and lists specific outputs (Max Pain, PCR trend, IV summary, top OI strikes), distinguishing it from sibling tools like nifty_pcr_trend and options_greeks by covering a broader set of analytics.

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 by listing features and examples, but does not explicitly state when to use this tool versus alternatives or provide exclusionary criteria. For instance, it does not mention that nifty_pcr_trend might be sufficient for PCR-only needs.

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