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

With no annotations, the description carries the full burden and does add real behavioral context: it discloses the return structure (nested subcategories), the side effect that include_filters attaches the filter catalog to the first category, and per-record pricing ('5 point per returned record'). It does not mention auth or pagination, but for a read-only taxonomy lookup this is solid disclosure.

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?

Three short sentences, front-loaded with the core purpose, then the parameter side effect, then cost. No filler or redundancy.

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?

No output schema or annotations exist, so the description must convey return shape and cost, which it does. Minor gaps remain around whether the tree is paginated or how deeply nested it goes, but for a two-param read tool it is largely complete.

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 100%, so both parameters are already documented ('empty = whole tree', 'Include the search filters catalog (first category)'). The description largely restates the include_filters semantics rather than adding syntax or edge-case detail beyond the schema, so baseline 3 applies.

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 ('Get the leboncoin category tree') and enumerates the returned fields (id, name, slug, parent, nested subcategories). The platform-qualified name and description clearly separate it from sibling tools such as run_leboncoin_listings or run_avito_categories.

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?

Usage is only implied: an agent can infer this is for browsing the category taxonomy before searching listings, and the include_filters parameter hints at building filtered searches. However, no explicit when-to-use, prerequisites, or alternatives are stated.

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