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

With no annotations, the description carries the burden well: it states the tool is FREE, discloses data provenance (every row read off the vendor's own page with a verbatim quote and read date), and discloses a threshold - the private-submission benchmark only appears with five or more data points. Missing only things like rate limits or how stale data is flagged.

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?

Front-loaded with 'FREE.' followed by a single dense sentence listing the exact metrics returned. Every clause earns its place, though the colon-chained sentence is slightly breathless.

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?

There is no output schema, so the description must convey return values, and it does: price counts, contact-sales share, median entry price, plus the private-submission benchmark. What remains unclear is the shape/format of the response and how the two benchmark sources are combined.

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 0%, so the description must compensate. It explains that exactly one category is required ('in one category') but never clarifies the ambiguous enum values such as 'agent-platform', 'vertical-ai' or 'other', which is the main thing an agent could get wrong. The enum itself is largely self-describing, so 3 is appropriate.

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?

Specific verb+resource: it returns aggregate pricing statistics (published-price counts, contact-sales share, median entry price) for one AI product category. It implicitly distinguishes itself from siblings like pricing_rows (raw rows) and pricing_changes by framing the output as a 'benchmark'. It never names a sibling, so it does not fully earn a 5.

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?

Usage is only implied: use it when you want category-level aggregate comparisons rather than individual vendor rows. There is no explicit 'use this instead of pricing_rows/pricing_quote_check when...' guidance and no stated exclusions.

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