ctr_vs_benchmark

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

With no annotations, the description carries the burden of behavioral disclosure. It provides important behavioral guidance: 'Base your analysis ONLY on the data returned... Do not speculate about causes... If the data does not contain enough information... say so clearly.' This goes beyond simple safety by telling the agent how to interpret results. It also mandates a presentation style, which is an unusual but useful behavioral trait. It does not mention side effects or permissions, but for a read-only comparison tool, this is adequate.

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 well-structured: it starts with the main purpose, then includes cautions about analysis, and ends with presentation instructions. The presentation section is somewhat lengthy but provides concrete direction for the agent's output formatting. Every section serves a distinct purpose, and the structure is easy to parse. Not perfectly concise, but given the amount of behavioral guidance, it earns a 4.

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 only two parameters, no output schema, and no annotations, the description does a good job of covering what the agent needs to know: what the tool does, how to handle data, and how to present results. However, it does not specify the exact return format or the threshold for 'significantly underperforming,' which is a notable gap. Still, it provides substantial guidance for a tool of this simplicity.

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?

The schema already describes both parameters (days: 'Number of days to analyse', min_impressions: 'Minimum impressions threshold') with 100% coverage. The description adds no additional detail about parameters, so a baseline score of 3 is appropriate. The description's behavioral instructions are helpful but not parameter-specific.

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 opens with a clear, specific action: 'Compare your actual CTR per page against industry benchmarks by position.' It also states it 'Flags pages significantly underperforming for their ranking position,' which gives a concrete function that distinguishes it from broader analytics tools. This directly states the tool's purpose with a verb and resource.

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 clearly frames the tool's use case: comparing CTR to benchmarks and identifying underperformers. However, it does not explicitly mention alternative tools or when not to use it. The context is clear enough for an agent to infer appropriate usage, but it lacks explicit exclusions or references to sibling tools.

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