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

No annotations are provided, so the description carries the burden of behavioral disclosure. It communicates scope ('full table', every criterion) and the optional filtering effect, but it does not disclose output format, pagination, or explicitly confirm that this is a safe read-only operation.

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?

A single sentence with no filler. The core content ('each option's value on every criterion') is front-loaded, and the 'full table' qualifier is concise and meaningful.

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 with no output schema or annotations, the description conveys the main output and relies on the schema for the optional filter. It is mostly complete, though it would benefit from a hint about choosing compare_criteria or compare_options.

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 schema already documents the only parameter with 100% coverage: 'one option's name, else all'. The description adds little beyond the schema, so a baseline score of 3 is appropriate; the 'full table' wording does reinforce the default all-options behavior.

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 states a clear output: the value of each option on every criterion in the UK payroll comparison, i.e., the full table. It distinguishes itself from sibling tools like compare_criteria and compare_options by focusing on actual values, though it does not name those alternatives.

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?

There is no explicit guidance about when to use compare_table versus compare_criteria or compare_options. The phrase 'full table' implies this is the comprehensive retrieval tool, but the description does not state exclusions or point to alternatives.

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