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

No annotations are supplied, so the description carries the full burden. It usefully discloses the external sources being scraped and the categories of data returned, which hints at network latency and third-party dependency, but it says nothing about failure modes for unregistered or unparseable domains, whether partial results are returned, or rate/cost limits.

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 fetched and from where, the second front-loads when to reach for it. Nothing is redundant or padded.

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?

For a one-parameter read tool with no output schema and no annotations, this covers sources, output categories, and usage timing. The remaining gap is behavioral: how it behaves on miss, and whether results are cached or slow, which matters for an external-scraping 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?

There is a single required parameter with 100% schema description coverage plus a worked example ('acme-corp.com'), so the schema already does the work. The description adds no extra meaning about accepted domain formats, subdomains, or whether a URL with scheme is tolerated.

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 gives a specific verb (scrapes/enriches) plus the resources it touches (website, GLEIF, OpenCorporates) and the concrete outputs (contact info, tech stack, legal verification). A reader knows exactly what this returns, though it never distinguishes itself from nearby siblings such as pabandi_get_business or pabandi_check_counterparty.

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 states a clear trigger condition: 'Use this before onboarding a new business to verify their legitimacy.' That is real when-to-use guidance. It stops short of exclusions or naming alternative tools when only a lighter-weight lookup is needed.

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