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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds the GSC analogy and the six-month retention note, but the retention window is already documented in the startDate schema description ('Omit for everything Bing has (about six months)'). No additional behavioral traits like pagination, return format, or auth requirements are disclosed beyond what structured fields provide.

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?

Two short sentences are front-loaded with the core purpose and metrics, with zero wasted text. The GSC analogy and retention note are compact and useful. Nothing needs to be cut or moved.

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 simple, annotation-covered read tool with 100% schema coverage, the description is nearly complete: it states the returned metrics, window totals, and retention bound. The only minor gap is lack of explicit output structure or pagination behavior, but with no output schema and a clear metric description, an agent has enough to call it correctly.

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%, with each parameter (endDate, siteUrl, startDate) already documented in detail, including the six-month default. The description adds no parameter syntax, requiredness, or format guidance beyond the schema. This is the expected baseline when the schema carries the parameter burden.

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 states a specific resource and metrics: daily Bing search clicks and impressions for a site, with totals for the window. It even maps the tool to a familiar analog ('the Bing equivalent of Search Console's performance chart'), which helps an agent grasp its role. It does not, however, explicitly distinguish itself from sibling tools like bing_top_pages or bing_top_queries.

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?

Usage is implied by the performance-chart analogy and the daily metrics framing, so an agent can infer this is for time-series click/impression data. But the description never states when to use this tool versus alternatives such as bing_top_pages, bing_top_queries, or the Search Console report tools. No explicit exclusions or alternatives are given.

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