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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint, so the safety profile is covered. The description adds useful behavioral detail beyond those hints: the data source (ENTRA), the recency/volume cap (up to 300 most recent roles), and the exact output fields returned (counts, sample titles, latest post date, verified flag, profile URLs). No contradictions with annotations.

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 question and then packs the essential aggregation details and output fields into a compact clause. Every phrase adds value and there is no filler or repetition.

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 there is no output schema, the description does a good job of listing the return fields and the aggregation scope. Combined with the fully documented input schema and safety annotations, an agent has enough to select and invoke the tool correctly. It could be more explicit about edge cases such as empty results or how the verified flag behaves, but these are minor gaps.

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 100%, so the schema already documents all four parameters clearly. The description adds no parameter-specific meaning beyond what the schema provides; it reinforces that the query is a role query, but that information is already present in the schema. Baseline 3 is appropriate.

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 names a specific verb ('aggregates'), a clear resource (ENTRA search results), and the resulting company-level view with concrete output fields. It is distinguishable from sibling tools like search_jobs and list_companies because it describes an aggregation into companies rather than raw job listings or a general company directory.

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: it is for answering 'which companies are hiring for a role right now' and explains that it aggregates up to 300 recent search results into companies. It does not explicitly name sibling alternatives or state when not to use them, but the aggregation framing makes the appropriate use case evident.

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