list_brands

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

No annotations are provided, so the description carries the full burden, but for a zero-parameter list tool the burden is small. "Returns" implies a non-mutating read, and it discloses the shape of the payload (brands, IDEs, languages), though it says nothing about ordering, completeness guarantees, or whether results are static or dynamically discovered.

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?

A single front-loaded sentence that states the resource and the returned fields with zero padding or repetition of the tool name.

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 input schema, no annotations, and no output schema, the description must carry the return-value explanation, and it does by naming brands, IDEs, and their programming languages. It stops short of routing the agent to the natural follow-up (get_brand_config), which is the only real gap for a tool this simple.

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 no parameters, so there are no parameter semantics to explain; the baseline of 4 applies. The description correctly does not invent parameter detail.

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 and resource ("Returns all PLC brands and IDEs") and even names the payload fields (common programming languages), so an agent knows exactly what this yields. It does not, however, distinguish itself from the sibling get_brand_config, which an agent could reasonably confuse with a brand-listing call.

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 when-to-use guidance, no mention of when to prefer this over get_brand_config, and no stated prerequisites or exclusions. The agent must infer that this is the discovery/enumeration entry point from the name alone.

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