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

The annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds that the content is a fixed set of company facts rather than a live or parameterized query, which is modest but useful context. With no output schema, it still does not say what shape the facts come back in.

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?

One sentence with the resource named first and the payload enumerated after it, so nothing is buried. The field list is dense but every item earns its place given the lack of an output schema.

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 burden of describing return content, and the enumerated field list does that well. What is missing is the relationship to get_contact_options and whether the team/LinkedIn data is personal or organizational.

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?

The tool takes zero parameters, so the baseline of 4 applies. The description correctly conveys that no input is needed by framing the response as a fixed set of facts.

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 states a specific resource (company facts about Adbull ApS) and enumerates the facts returned: address, CVR, contact details, opening hours, team roles/LinkedIn, and B-mærket certification. That distinguishes it from the sibling tools, which all cover different subjects (prices, services, articles, cases). It stops short of 5 because the tool name's relationship to the 'Om Adbull' title is never reconciled.

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?

There is no statement of when to use this tool versus alternatives, even though it overlaps with the sibling get_contact_options on contact details. The agent must infer from the field list alone that this is the broad company-profile lookup rather than the contact-channel lookup.

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