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

Annotations already declare readOnlyHint=true, and the description aligns by describing a read-only analysis of sections. The description adds the all-sections scope and comparison dimensions, but does not disclose output format or any operational behavior; this is acceptable because the annotation covers the main safety-relevant 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 English sentence is front-loaded and specific. The Arabic translation repeats much of the first sentence, but the final clause adds a useful analytical purpose, so the redundancy is minor rather than disqualifying.

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-parameter, read-only comparison tool with an output schema, the description is complete: it names the data being comparedhra and the intended analytical use. No prerequisites, side effects, or return-value details are necessary.

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 zero parameters, so there is nothing for the description to document about inputs. The baseline of 4 applies because no parameter-level compensation is needed.

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?

States a specific verb 'Compare' and a clear resource 'all sections' with three concrete comparison dimensions: content count, quality distribution, and freshness. It does not explicitly name a sibling tool, but the all-sections scope and dimensions are enough to distinguish it from list/browse tools.

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 Arabic sentence provides a clear intended use case: helping identify neglected versus strong-performing sections. However, it does not give explicit exclusions or name alternative tools, so the guidance is contextual but not exhaustive.

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