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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds useful return-content details (ratings, pros, cons, salary data) and the max_results default, but does not disclose potential rate limits, pagination behavior, or dependency on live external data. Thus, it adds some value beyond annotations but falls short of rich behavioral disclosure.

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 concise and well-structured: a single-sentence overview followed by an Args block with clear parameter explanations. Every sentence adds value without 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?

With no output schema, the description must convey what to expect from the call. It does list the key return fields (ratings, pros, cons, salary data) and parameter behavior. It does not mention edge cases like unrecognized company names or empty results, but for a simple read-only tool with two parameters, this is reasonably complete.

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 description coverage is 0%, so the description carries the full burden of explaining parameters. It does so effectively: 'company' is explained with an example, and 'max_results' states its default and meaning ('Max reviews'). This fully compensates for the lack of schema descriptions.

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 the tool's function: 'Get Glassdoor reviews for a company.' It specifies the resource (Glassdoor reviews) and lists the return types (ratings, pros, cons, salary data). This distinguishes it from sibling tools like salary_search and search_jobs, which focus on different data types.

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 gives clear context for when to use the tool (whenever Glassdoor reviews are needed) but does not explicitly mention alternatives or exclusions. While the sibling tools are visible in the environment, the description itself does not address when not to use this tool, leaving this dimension slightly below 5.

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