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

No annotations are provided, so the description carries the full burden. It does disclose useful edge behavior ('Pages with no JSON-LD still return title + seo with an empty jsonLdGraphs array'), but says nothing about authentication, rate limits, caching, or pagination for a network-backed read tool.

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?

Three tight sentences, front-loaded with what is returned before the usage hint and the example. No filler, though the inline example call is arguably redundant with the schema's own examples.

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 characterize the return value, and it does: JSON-LD graphs plus SEO metadata, and the degraded shape (title + seo with empty jsonLdGraphs) when nothing is found. It could still say more about the full response envelope, but it is adequate for a two-parameter read tool.

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% and the schema already documents both parameters (slug pattern, real slug list, country ISO code, unknown-slug behavior). The description's example call {'country': 'COL', 'slug': 'facturacion-electronica'} is helpful but largely duplicates schema examples, 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?

States a specific verb ('Returns') and resource ('curated JSON-LD structured data graphs ... for a Siigo landing page, plus SEO metadata') and even enumerates the schema types produced (Service, Product, Offer, Review, FAQ, Breadcrumb). That is far more specific than the sibling names alone, though it never explicitly contrasts itself with get_articles/get_products/search.

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?

Gives a clear triggering condition: 'Use this when the user asks about a specific Siigo product or topic and you want canonical, schema.org-ready data.' It does not name an alternative tool or state when NOT to use it, so it stops short of a 5.

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