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

The description adds useful context beyond the schema: the report is deep and cited, the input is an optional scope, and there is a pay-per-use cost of 150.0 USDC on Base. It doesn't describe output format or whether it's a read-only operation, but for a report tool with no annotations, this is a reasonable middle ground.

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 compact and front-loaded with the core purpose, then audience, then cost. The metadata formatting is a bit noisy but every piece carries some information.

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 one-parameter tool with no output schema, the description covers purpose, audience, and cost. However, it doesn't describe what the agent receives as output or clarify the exact input format, leaving some gap for an agent attempting invocation.

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 the baseline is 3. The description adds meaning by clarifying that the input is an optional scope rather than just a generic 'service input', but it remains vague about what forms that scope can take (e.g., segment, geography).

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 clearly identifies this as an industry report on global SaaS pricing benchmarks, with a specific audience in B2B product/monetization teams. It doesn't name a sibling but the 'global-saas-pricing' resource is specific enough to distinguish it from generic market-report tools.

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 states when the report is relevant (B2B product/monetization teams calibrating pricing) and that the input is an optional scope, which gives some usage context. However, it doesn't explicitly contrast with alternatives or state when not to use it, so the guidance is implied rather than explicit.

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