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

With no annotations, the description carries the burden and mostly succeeds: it discloses that the tool is callable anonymously (no auth required), which is meaningful context, and that output escalates with input depth. It does not explicitly state read-only/no-side-effects, but for a help lookup that is self-evident.

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?

Dense but front-loaded: the anonymous-access and three-tier facts come first, then each tier's behavior in the same breath. No filler, though the run-on comma structure makes it slightly harder to parse than separate lines would.

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 meta/discovery tool with 2 optional params, no output schema, and low complexity, the description covers the full behavioral contract an agent needs to invoke it correctly. Only the shape of the returned listings is left implicit, which is acceptable for a help index.

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 compensate, and it does: ontology is described as the filter selecting a tool set, and sub_action is defined as a fully-qualified action name with concrete examples (vendor.list, plan.quotation). The compound-key relationship between the two parameters is conveyed, though the exact format semantics of ontology naming are only shown by example.

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 mechanism (a three-tier help/discovery system) and precisely enumerates what each call level returns. It is unmistakably distinct from all siblings, which are concrete business operations rather than a self-describing index of them.

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 gives a clear call ladder: no args for the ontology list, ontology alone for its tools, ontology + sub_action for parameters. That is effectively 'when to use which mode'. It does not explicitly say to prefer calling a known tool directly instead of going through help, but the progressive-disclosure framing implies it.

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