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

With no annotations, the description carries the full burden of behavioral disclosure, but it only describes the table's content, not the tool's behavior. It does not state output format, whether omitting 'option' returns all options, read-only status, or any other operational trait.

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 concise sentence that front-loads the key scope (each option's value on every criterion) and ends with the clear 'full table' qualifier. There is no filler or redundancy.

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 simple one-parameter read tool, the description is minimally adequate: it conveys the table's content. But with no output schema and no annotations, it leaves the exact return shape and the effect of the optional 'option' parameter implicit, and it does not differentiate clearly from sibling tools.

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 already documents the single 'option' parameter with 100% coverage. The description adds no extra meaning about the parameter's format, allowed values, or default behavior, so the baseline score of 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 identifies the resource (the comparison table) and the exact granularity: every option's value on every criterion. The verb is only implicit (returns/provides), but 'the full table' makes the retrieval intent clear and helps separate it from sibling tools like compare_criteria and compare_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 phrase 'the full table' implies this tool is for obtaining a complete option-by-criterion comparison, offering some usage context. However, it never explicitly says when to prefer this over compare_criteria or compare_options, nor does it mention any exclusions or conditions.

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