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

With no annotations, the description carries the full burden of behavioral disclosure. It only states the purpose and fields covered, but doesn't explain behavior such as how it handles missing domains, whether results are aggregated, any authentication requirements, or the structure of the output. For a comparison tool, more context on the side-by-side format (e.g., column/row layout, normalization, error behavior) is needed.

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 sentence with no filler. It front-loads the core purpose ('Structured side-by-side') and immediately lists the relevant field categories. Every word earns its place; it is concise and scannable.

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 tool with two parameters, no output schema, and no annotations, the description is too sparse. It omits any explanation of the 'domains' input, how output is structured, error handling, or edge cases. An agent cannot reliably invoke this tool correctly with only this description, even though the schema lists required and optional fields.

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 has 0% description coverage, so the description must explain both parameters. It lists potential field values (description, products, etc.) which hints at the 'fields' parameter, but the 'domains' parameter is not explained at all. No format, constraints, or default behaviors are conveyed. The description adds minimal value beyond the raw 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 the tool compares companies side-by-side in a structured format and lists the fields covered (description, products, categories, funding, technology). This distinguishes it from single-company tools like get_company or research_company, though it doesn't explicitly name the alternative. The verb, resource, and scope are clear.

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 given on when to use this tool versus siblings. The description implies comparison of multiple companies, but there is no explicit statement of when to choose this over research_company, find_competitors, or get_company. An agent would have to infer from the tool name alone, which is insufficient.

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