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

Annotations already declare read-only, idempotent, closed-world behavior, so the safety profile is covered. The description adds genuinely useful hidden context: the data source, the 'prices checked October 26, 2026' freshness stamp, and that each record discloses whether prices are even published — all of which affect how an agent should trust the output. It just doesn't mention result volume or pagination.

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?

Two sentences: the first front-loads what is returned, the second gives the purpose plus provenance (source, check date, URL). Slightly dense opening clause, but every element earns its place and nothing is repeated from the schema.

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?

With no output schema, the description must convey the shape of the response — and it does, naming the per-vendor fields and the data freshness. Combined with the enum-documented filter it is sufficient to invoke and interpret the call correctly; only pagination/result-size remains unstated.

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% and the single `type` parameter carries its own enum value descriptions (ai / virtual / platform / all), so the schema does the work. The prose never mentions the type filter at all, leaving no added meaning beyond the structured field — the baseline 3 applies.

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 enumerates the exact resource (AI receptionists, virtual receptionists, build-your-own platforms priced by ReceptionistPrices.com) and lists the fields each row carries (entry plan, price-publication status, page-read date). This is unambiguous about what the tool returns, and 'Use it to find a vendor's id' implicitly contrasts it with get_vendor_pricing, though no sibling is named explicitly.

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 gives a concrete usage cue — call this to obtain a vendor's id, presumably before calling a pricing/detail sibling. However, it never states when NOT to use it or names get_vendor_pricing / compare_at_volume as the alternatives for a caller who already has an id.

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