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

Annotations already declare readOnlyHint=true, openWorldHint=false, destructiveHint=false, so the safety profile is covered. The description adds genuinely useful context the annotations cannot: that the payload is a fixed set of published fields drawn from a static, closed dataset rather than live lookups. It does not describe failure behavior for unsupported inputs, but the enum largely forecloses that.

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 front-loaded sentence with no filler; the field enumeration is the useful payload rather than padding. It is slightly list-dense, reading more as a field manifest than a directive, but nothing is wasted.

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 carries the return-shape burden and does so by enumerating the six field groups an agent will receive. Combined with 100%-covered input schema and closed-world annotations, an agent has enough to call this correctly; only the get_page boundary 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 description coverage is 100%, so both the country enum and the locale enum (including the important 'Arabic is published copy, not a translation' nuance) are already fully documented in the schema. The description adds only the notion of 'one MENA market' and says nothing about locale, so 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 names a specific resource (one MENA market's Sandooq-published data) and enumerates the concrete fields returned: VAT rate, e-invoicing posture, currency, tenders, regulator, market notes. It is clearly distinct from get_pricing and search_docs, though it never explicitly contrasts itself with get_page, which could plausibly surface the same country page.

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: an agent can infer 'call this to get structured per-country facts.' There is no statement of when to prefer it over get_page (the sibling whose territory — 'that country's page' — most overlaps) and no note about what happens for a country outside the seven-market enum.

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