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

Annotations already cover safety (readOnlyHint true, openWorldHint false), yet the description adds substantial context the agent needs: a concrete pricing model with caps, the pay-as-you-go vs. Understanding/Influence inclusion, and an estimate endpoint pointer. That is real behavioral disclosure beyond the structured fields, though it omits pagination/return-shape behavior.

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?

Purpose and scope are front-loaded in the first sentence, and the drill-down guidance follows logically. The 'which nothing could see before' phrasing is promotional filler that dilutes an otherwise efficient paragraph.

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 read-only aggregate tool with no output schema, the description supplies the essentials: what it returns (a ranked provider list), the scale of the result set, the drill-in alternative, and the pricing/cost model the agent must weigh before calling.

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 page, limit, and context are fully documented in the schema itself. The description adds no parameter-level syntax or meaning, so the baseline 3 applies.

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 resource (providers that publish at least one deprecated operation) and a specific ordering (ranked by count). It clearly distinguishes itself from get_provider_operations, which it frames as the drill-down rather than the aggregate view.

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?

It gives an explicit follow-up path ('Drill in with get_provider_operations(deprecated=true)') and frames the tool's niche as lifecycle-level discovery vs. per-provider filtering. It does not state exclusions, but the when-to-use is clear.

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