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

Annotations already declare readOnlyHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is clear. The description adds useful detail about what is returned (scores, suggestions, a revised version), but it does not clarify scoring methodology, whether the output includes the revised text or only suggestions, or any limitations. With annotations covering safety, a 3 is appropriate.

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 efficient sentence that front-loads the core actions and output. It is appropriately sized and free of filler, though it could be slightly more structured with explicit usage cues.

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?

Given the read-only annotations and fully documented schema, the description provides enough context for an agent to invoke the tool correctly. It covers what the tool does and what it returns, though it could clarify the scoring dimensions or output format more explicitly.

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?

Schema coverage is 100%, so all parameters are fully documented in the schema. The description does not add any parameter-level meaning beyond noting that a version with jargon replaced and sentences split is returned, which is an output detail rather than input semantics. Baseline 3 is correct.

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 uses a specific verb sequence (analyze, score, return suggestions) and states exactly what the output contains, including jargon replacement and sentence splitting. It is clearly distinct from siblings like case_study_generator or content_repurposer, which create or transform content rather than analyze it.

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?

Usage is implied by the description—use this to analyze and improve existing content—but it does not explicitly state when to choose this over alternatives like content_repurposer, nor does it mention prerequisites or exclusions.

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