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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering safety. The description adds behavioral context beyond annotations: it specifies the tool returns a list of functionalities/conditions and explicitly states it does not expose user organization data. This clarifies the scope of what the tool returns without contradicting the annotations.

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?

The description is a single, front-loaded sentence that states the core purpose and then a key exclusion. Every word earns its place; there is no filler or repetition. It is efficient and immediately useful to an agent scanning the tool list.

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 zero-parameter, read-only tool with rich annotations and no output schema, the description is largely complete: it names the output (list of capabilities/conditions) and explicitly excludes user org data. The only minor gap is that it does not clarify what 'pilot conditions' means or how this differs from the sibling knowledge tools, but given the tool's simplicity, this is sufficient.

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 has zero parameters, and the schema coverage is 100% (since there are no properties to describe). The description adds no parameter-level details because none exist. Per the baseline for tools with no parameters, a score of 4 is appropriate; there is nothing missing that could be documented.

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 action ('Popis funkcionalnosti i uvjeta pilota' – lists capabilities and pilot conditions) and explicitly scopes out what it does not do ('ne prikazuje podatke korisničkih organizacija'). This clearly distinguishes it from the sibling knowledge tools, which presumably return data content rather than system capabilities.

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?

The description gives a negative scoping ('does not display user organization data') that implies it is not for data retrieval, but it never explicitly states when to use this tool instead of get_knowledge or search_knowledge. There is no mention of the siblings or a condition like 'use this when you need a list of system capabilities.' The guidance is implied rather than direct.

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