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

Annotations already cover the safety profile (readOnlyHint=true, idempotentHint=true, destructiveHint=false), lowering the bar. The description adds useful context by listing the statistics categories returned, but it does not disclose details like data freshness, possible overlap between new-this-week and new-this-month counts, or the response shape.

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?

One front-loaded sentence: the verb and resource come first, followed by a compact parenthetical list of statistics types and a short input note. Every word earns its place and nothing repeats the title or the schema.

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 0-parameter, read-only statistics endpoint with no output schema, the description adequately covers what the tool does, what data it returns, and that no input is needed. The only gap is the absence of explicit routing guidance between this tool and search_jobs, though the aggregate-vs-search contrast is reasonably evident.

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?

With zero parameters and 100% schema coverage, there is nothing for the schema to document. The description reinforces this with 'No input required,' which is exactly the right semantic signal for a no-parameter tool, justifying the baseline-4 score.

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+resource ('Get aggregate statistics... for nomado24's remote-jobs board') and enumerates exactly what is included (active jobs, new-this-week/month, top sources, salary ranges). The aggregate-stats framing clearly separates it from get_job (single job) and search_jobs (search), though it does so implicitly rather than by naming the siblings.

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 only usage guidance is 'No input required,' which correctly tells the agent that no parameters are needed. However, there is no explicit statement of when to choose board-level statistics over search_jobs or get_job; the agent must infer the intent solely from the word 'aggregate.'

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