bing_analytics_drop_attribution

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

No annotations are present, so the description must fully convey behavioral traits. It only states 'identify the likely cause', which is vague and does not reveal whether the tool performs read-only analysis, requires authentication, or has any side effects.

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 concise phrase with no waste, but it lacks structure and detail. Every word earns its place, but it could benefit from a brief explanation of the methodology or output.

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 no output schema and only three parameters, the description is incomplete. It does not specify what the output looks like (e.g., a list of causes, confidence scores) or how the algorithm works, which is insufficient for effective tool selection among many siblings.

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?

All three parameters are described in the schema (100% coverage), so the description does not need to add much. However, it adds no additional meaning beyond the schema, such as explaining how 'days' or 'threshold' influence the analysis.

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 ('identify') and resource ('cause of a Bing traffic drop'), making its purpose clear. However, it does not differentiate from the sibling tool 'analytics_drop_attribution', which likely serves a similar function for Google Analytics.

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?

No guidance is provided on when to use this tool versus alternatives like 'analytics_drop_attribution' or other analytics tools. There are no notes on prerequisites, exclusions, or typical scenarios.

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