Knowledge-graph info about a specific boat brand or manufacturer on Obato: description, expert facts, authority score, active listing count.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Brand slug (lowercase, e.g. 'bavaria', 'jeanneau', 'bayliner'). |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already cover read-only and non-destructive behavior. The description adds the output content but does not disclose additional behavioral aspects such as rate limits, required permissions, or potential variations in data availability. It does not contradict annotations, but it also does not go beyond the basic safety information.
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, well-structured sentence that conveys the essential purpose and output. It avoids unnecessary details, repetition, or verbose explanations, making it highly concise and efficient for an agent to parse.
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?
Given the simplicity of the tool (single parameter, no output schema), the description is sufficiently complete. It lists the type of data returned, which gives an agent a clear expectation of the result. It does not cover error cases or edge scenarios, but these are not critical for a basic getter. Overall, it fits well within the context of sibling tools.
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 fully describes the single parameter 'slug' with format and examples. The tool description does not add any extra meaning or constraints beyond what the schema already provides. Since schema coverage is 100%, the baseline of 3 is appropriate, and no additional semantic detail is given.
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 clearly states the tool's function: retrieving knowledge-graph information about a specific boat brand or manufacturer. It specifies the type of data returned (description, expert facts, authority score, active listing count), making its purpose unambiguous and distinct from sibling tools like search_boats or get_boat_details.
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 does not explicitly state when to use this tool over alternatives. It implies usage for brand-specific information, but there is no direct guidance on scenarios (e.g., 'use when you need brand reputation scores' or 'instead of searching boats'). The purpose is clear, but usage context is only implicit.
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.
Most tools target distinct resources, but get_boat_pricing_stats and get_market_stats overlap heavily: both return count, average, median, min/max price scoped by category and region. ask_bo and get_facts also both return cited factual content, leaving some ambiguity even if the descriptions help.
The set predominantly follows a verb_noun pattern: search_boats, search_rentals, get_brand_info, compare_brands, and get_boat_details all fit cleanly. market_snapshot breaks the pattern as a bare noun phrase, and ask_bo uses a proper noun, but these are minor deviations within an otherwise predictable convention.
11 tools is well-scoped for a multifaceted read-only marketplace domain covering listings, rentals, brands, marinas, knowledge-graph facts, and market statistics. Each tool earns its place, even though a couple of them partially overlap.
Core workflows are covered: boat search and details, rental search, brand lookup and comparison, marina discovery, knowledge-graph facts, and multiple market statistics views. Minor gaps exist, such as no dedicated marina detail endpoint and rental details only appearing via search results, but agents can work around these.
