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

The readOnlyHint and destructiveHint annotations already establish that this is a safe read operation. The description adds substantial behavioral context beyond annotations: it returns two distinct lists, each ticker entry includes AI-generated fields when available, and it documents optional data like IV rank and option packs. It also specifies default and allowed argument ranges, giving the agent a full picture of what to expect. No contradictions with annotations exist.

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 long but every section earns its place: the one-sentence summary, the return structure with field details, the sort options table, and the Args block. It is well-organized with clear labels and front-loads the core behavior before diving into details. Nothing is redundant or filler.

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?

For a tool with zero required parameters, a descriptive output schema signal, and no sibling ambiguity, this description is comprehensive. It explains the full output shape, every parameter, valid values, defaults, and the meaning of ranking options. An agent has everything needed to invoke the tool correctly and interpret the result without opening external schema definitions.

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?

The input schema provides only parameter names, types, and defaults with no textual descriptions, so the description carries the full burden. It thoroughly explains both parameters: sort lists all five allowed values with the default and meaning, and limit specifies the range (1-20) and default (5). This is rich semantic value that goes well beyond the bare schema.

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 opens with a specific verb and resource: 'Get the top-ranked short volatility and long volatility option trading strategies.' It clearly defines what the tool returns (two ranked lists) and distinguishes this from siblings like get_ticker, which provides individual ticker data, and get_historical_options_data, which retrieves historical option prices. The purpose is unambiguous and well-scoped.

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 provides clear context on what the tool does and how it can be configured via sort and limit. It names the default ranking method and all possible sort options. However, it does not explicitly state when to use this tool instead of a sibling alternative, only implicitly differentiating itself by its ranked-list output and reference to get_ticker fields. This is clear context but lacks explicit exclusion criteria.

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