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

With no annotations provided, the description carries the behavioral burden. It states that the tool returns current values and allowed modes, making its read-only, query-like nature clear. It does not discuss side effects, but for a no-parameter getter this is a minor omission.

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, front-loaded sentence that lists the option areas and then states the return behavior. The list is long but purposeful, since it tells an agent exactly what this options getter covers.

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 zero-argument getter with an output schema and no annotations, the description is largely complete: it identifies the subject and the return semantics. It could strengthen the definition by explicitly noting that no settings are changed and by referencing set_options, but these are not critical gaps.

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 tool has no parameters and the input schema is empty, so the baseline is 4. The description adds useful context about what the referenced options cover, even though there is nothing to document about argument 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 that the tool returns current values and the list of allowed modes for the data-collection options, and it enumerates the specific option categories. This distinguishes it from related getters like get_prices or get_results, though it does not explicitly name a sibling such as set_options.

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 to inspect current parsing/collection options and valid modes. However, it does not explicitly say when to use it instead of related tools or mention set_options as the counterpart for changing these values.

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