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

Annotations already declare readOnlyHint and destructiveHint, and the description adds non-obvious context: data source (CFPB Consumer Complaint Database synced data) and per-call cost. It does not mention update frequency or pagination, but the added source and cost context go beyond the annotations.

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 front-loaded with the primary use cases and return summary, followed by a concrete illustrative example, source, and price. It is efficient and each sentence adds useful context, though the example is slightly longer than strictly necessary.

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?

The description gives a good high-level picture of purpose, output contents, source, and cost. However, with no output schema and 0% schema description coverage, it leaves uncertainty about exact response shape and how the product parameter behaves. It is adequate but not fully complete for a two-parameter tool.

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 0%, so the description carries the burden for explaining parameters. It mentions 'by company and product' and the example implies company_name, but it never defines the product parameter, its allowed values, optionality, or how the response is filtered. The description does not adequately compensate for the undocumented schema.

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 states what the tool does: returns CFPB complaint rollups by company and product, including volume, issue themes, and response rate trends. This is a specific verb-plus-resource statement that differentiates it from sibling financial benchmarks and intelligence 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?

The description explicitly says when to use it: assessing consumer finance risk, benchmarking complaint volume against peers, and pre-acquisition due diligence. It does not mention alternatives or exclusion cases, so it is clear context but not full discrimination guidance.

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