get_category

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

No annotations are provided, so the description carries the full disclosure burden, and it only restates the literal operation. It does not disclose the shape of the returned 'texts', whether category names must match a known taxonomy exactly, pagination behavior, or error handling. The tool is read-only in nature so the gap is not severe, but the description adds no behavioral depth beyond the function name implies.

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 with zero filler. It is appropriately sized for a one-parameter tool. One short clause about what the returned texts look like would have increased value without bloating the definition.

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 tool, the core call is adequately specified: one required parameter, fully documented with enums-style examples. However, with no annotations, no output schema, and no clarification of how 'category' relates to the topic-oriented siblings, the definition is only minimally complete and leaves return-format and routing questions open.

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% and the single parameter already has a description with concrete examples ('Torah', 'Talmud', 'Mishnah'), so the baseline is 3. The tool description contributes only the phrase 'all texts,' implying the category filters a text collection, which adds marginal meaning beyond the schema.

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+resource: 'Get all texts in a specific category.' This is clear as a standalone statement. However, it does not distinguish 'category' from the many semantically overlapping sibling tools (get_topics, get_all_topics, get_topic_graph), so an agent cannot tell whether a category and a topic are the same kind of entity.

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?

No guidance on when to use this tool versus alternatives. There are no exclusions, no named alternatives, and no conditions. Within a 28-tool family that includes get_text, get_topics, and search, the description gives an agent no basis for preferring get_category over its siblings.

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