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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false. The description adds useful behavioral context: without a filter it returns 'the most prominent topics' and the filter applies to a word in the title. It does not contradict 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 with no filler. It conveys the core action, the optional filter, and the default behavior efficiently.

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 low-complexity read-only listing tool with rich annotations and schema defaults, the description covers the key semantics. Some ambiguity remains around matching behavior (substring vs exact word) and what 'prominent' means, but the description is adequate for a list operation without 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?

Schema description coverage is 0%, so the description must compensate. It explains that 'contains' means a word in the title, but it does not describe the 'limit' parameter, leaving that to the schema's default and constraints. Partial semantic coverage for two parameters.

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 verb and resource ('List topics') and adds a concrete filtering criterion ('filtered by a word in the title'), plus the unfiltered default behavior. This clearly distinguishes it from sibling tools like get_topic or search_library.

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 implies when to use it: to list topics, optionally narrowed by a title word. However, it does not explicitly mention alternatives or when not to use this tool, despite many related siblings such as get_topic, recommend_topics, and search_library.

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