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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not state that this is a read-only operation, nor does it describe response format, pagination, or defaults (though defaults are present in the schema). The description only conveys the tool's purpose, not any behavioral traits beyond the obvious.

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 consists of two short sentences. The first states the action and scope directly, and the second adds a brief value statement. No unnecessary words, and the core purpose is front-loaded.

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?

The tool has no output schema and only three optional parameters, but the description hints at the output being counts per breakdown type. It does not mention structure, sorting, or edge cases, but for a simple statistics endpoint this is likely sufficient for an agent to invoke it correctly. Missing details like pagination could be a minor gap.

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 the description need not repeat parameter details. It does clarify that 'type' refers to skill/category/country/industry breakdowns and 'record' to jobs vs. companies, adding semantic context that aligns with the schema descriptions. However, this is largely a rephrasing of the schema, providing minimal additional value.

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 retrieves remote work statistics with specific breakdown types (skills, categories, industries, countries) aggregated by job or company count. This differentiates it from sibling tools like search_jobs or get_jobs, which deal with individual records rather than aggregate statistics.

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 offers a high-level use case ('Great for understanding the remote work landscape') but does not explicitly state when to use this tool over alternatives, nor does it provide exclusions or specific conditions. Since no sibling tool directly overlaps, the lack of explicit differentiation is less critical, but guidance remains implicit rather than explicit.

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