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

Annotations already declare readOnly, openWorld, idempotent, and non-destructive hints. The description adds behavioral context by detailing that folders are type 'l' and tables are type 't' with ids ending in '.px'. This provides useful functional transparency beyond 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?

Two concise sentences that front-load the purpose and follow with necessary detail. No redundant or extraneous information.

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 simple tool with one optional parameter, the description covers both usage scenarios (with and without path) and mentions the types of results. While it lacks details on the exact return format, the overall completeness is adequate given the low complexity and absence of an output schema.

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 input schema covers the 'path' parameter with description and examples (100% coverage). The description adds value by explaining the structure of valid sub-paths (e.g., 'Statistik', 'Statistik/BE') and how they map to folders and tables, enriching the semantic understanding.

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 specifies the verb 'browse', the resource 'ÅSUB (Statistics Åland) PxWeb subject tree', and explains behavior with and without a sub-path. It clearly distinguishes the tool's role from siblings by focusing on tree navigation rather than data querying or other operations.

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 explains how to use the tool (with or without path) but does not explicitly compare it to sibling tools like query_table or table_meta. It lacks guidance on when to choose this over alternatives, which is a gap given the large number of siblings.

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