get_best_in_categoryGet the full ranked leaderboard and verdict for a category slug (obtained from search_best or list_categories), e.g. 'best-llm-observability'.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Category slug, e.g. best-llm-observability |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate read-only and open-world. Description adds that output includes 'leaderboard and verdict', but no details on behavior like pagination or rate limits. Sufficient given 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?
Single sentence, front-loaded with action, no superfluous words. Highly concise.
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?
Simple tool with one param and no output schema. Description covers input source, output nature, and example. Complete for agent usage.
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 covers parameter fully. Description adds context: slug comes from specific sibling tools, provides example. Adds value beyond 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?
Clear action: get full ranked leaderboard and verdict. Specific resource: category slug. Differentiates from siblings by specifying source of slug (search_best or list_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?
Explicitly states slug is obtained from sibling tools, indicating proper usage context. No exclusions or alternatives listed, but clear enough for an agent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct operation: listing categories, searching, getting a category leaderboard, polling history, or product details. There is no functional overlap, ensuring an agent can clearly differentiate between them.
All tools follow a consistent verb_noun pattern (get_best_in_category, get_poll_history, get_product, list_categories, search_best), with clear verbs and descriptive nouns, promoting predictable usage.
With 5 tools, the server is well-scoped for a domain focused on ranking retrieval and exploration. Each tool serves a clear purpose without unnecessary bloat or inadequacy.
The tool set covers the full workflow: discover categories (list_categories), search for best (search_best), view detailed rankings (get_best_in_category), audit trail (get_poll_history), and cross-category product info (get_product). There are no obvious gaps for the intended use case.