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

With no annotations, the description carries the behavioral burden. It adds 'deep, cited,' audience, and pay-per-use pricing, which are useful. However, it does not disclose output format, response structure, or how the scope input affects 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?

The description is short, front-loaded with the report type, and includes important context like B2B audience and pricing. The 'input=optional scope' fragment is terse but slightly ambiguous.

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 single-parameter tool with no output schema and no annotations, the description is too thin to support confident invocation. The required/optional contradiction and undefined 'scope' format are material gaps, and the response contents are only vaguely promised as 'deep, cited.'

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 only says 'service input,' so 'input=optional scope' adds real meaning. But it directly conflicts with the schema's required array, which could mislead an agent into omitting a required parameter. This misleading optionality outweighs the added semantic value.

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 names the artifact ('INDUSTRY REPORT') and the resource ('The Base (L2) ecosystem'), adding depth and citation promises. This distinguishes it from generic report siblings, though it does not explicitly name an alternative.

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 specifies a clear use case: B2B builders and investors evaluating opportunities on Base. It gives context but no explicit exclusions or named sibling alternatives, so some inference is required.

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