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

Annotations already declare readOnly/idempotent/non-destructive/closed-world, but the description adds real behavior: prices arrive with source_url, as_of and USD conversion, price-history counts are included, and providers are ranked by who serves the given place with a stated reason. Those are meaningful traits beyond the annotations; only auth or failure behavior (invalid id, missing country) is left unsaid.

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?

A single sentence, front-loaded with "Everything about one job:" and then a scannable list, closing with the one actionable instruction. It runs long and several list items duplicate what the output schema already declares, which keeps it short of a 5.

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 a complete input schema, an output schema, and full annotations, the description only needed to convey scope and the country/region effect, which it does. It omits edge behavior (unknown id, provider list when no country is supplied), a minor gap given how much is carried structurally.

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%, so baseline is 3, but the description adds semantics the schema lacks: country and region are optional inputs that change provider ranking and the ranking includes a rationale. It also frames country as the primary geographic argument with region as the finer-grained option, which is not spelled out in the 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 enumerates exactly what a single-job lookup returns (robot types, purchase models, prices, RFQ checklist, providers) and how the result changes with country/region, so an agent knows this is the full-detail fetch for one job id. It does not, however, distinguish itself from siblings that surface overlapping data (get_prices, find_providers, get_rfq_template) whose content it bundles, leaving the boundary implicit.

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: the id parameter's schema note pointing to search_use_cases and the "Pass country... to rank providers" sentence imply 'use this after you have an id and want everything about it.' There is no explicit when-to-use/when-not statement or named alternative for narrower needs like a price-only or provider-only lookup.

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