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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds useful shape information (flat category→names map) but says nothing about cost/credit consumption — notable for a DataForSEO-backed call — nor about latency or whether results come from a cached index versus a live fetch. Adds some value, leaves real gaps.

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 short lines with zero filler: what it returns, what it's for, and the one non-obvious parameter. Front-loaded with the resource. The telegraphic, ellipsis-heavy style is terse to the point of being slightly clipped, 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?

An output schema exists so return values needn't be re-explained, and the read-only annotation covers safety. What's missing is the operational context an agent needs to call this wisely: whether the lookup costs DataForSEO credits, and how it differs from the GTM/WordPress tracking tools that also report tag presence.

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 carry the burden — and it does explain 'workspace' as the customer-workspace slug, optional when only one workspace exists, which is exactly the ambiguity an agent would hit. 'domain' is left implicit but is self-evident from the tool's purpose. This is meaningful compensation for one of two parameters.

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 the resource concretely: the technologies detected on a domain, enumerated by category (CMS, Analytics, Tag-Manager, Ad-Pixel, Payment), plus the flat {Kategorie: [Namen]} result shape. It is clearly the only technology-detection tool among the siblings (which are crawl, backlink, keyword, ads, GTM, etc.), so an agent can distinguish it without opening the schema, though it never names a sibling for contrast.

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?

'Relevant fuer Tracking-Audits (fehlendes GA4/GTM)' gives one concrete use case, which implies when to reach for it, but there is no when-not guidance and no alternative tool named (e.g. gtm_container_info or wp_tracking_status for verified tag presence rather than detected scripts). Usage is inferable rather than prescribed.

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