Get competitive pricing analysis for a vacation rental market. Returns comparable property rates, market average, pricing optimization suggestions, and seasonal adjustments. Pass location (required), optional property_id for direct comparison, and optional bedrooms count.
| Name | Required | Description | Default |
|---|---|---|---|
| bedrooms | No | Number of bedrooms | |
| location | Yes | Location to analyze | |
| property_id | No | Property UUID for comparison |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds behavioral context by listing the nature of the output (comparable rates, market average, optimization suggestions, seasonal adjustments), clarifying that it is a read-only analytical tool. It does not contradict annotations and provides useful detail about what the analysis yields.
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 two sentences, front-loaded with the core purpose, and includes only essential details. Every sentence earns its place: the first states what the tool does, the second lists required/optional parameters. No fluff or repetition.
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?
The description is reasonably complete for a read-only analysis tool. It covers the purpose, key inputs, and return elements (comparable property rates, market average, suggestions, seasonal adjustments). While there is no output schema, the description provides enough for an agent to anticipate results. It could mention date ranges or interpretation, but that is not necessary for basic use.
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 100%, so baseline is 3. The description adds marginal value by clarifying that location is required and property_id is 'for direct comparison' and bedrooms is 'count', but these details are largely redundant with the schema descriptions. It does not introduce new meaning or elaborate on parameter formats.
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: 'Get competitive pricing analysis for a vacation rental market.' It uses a specific verb ('Get') and resource ('pricing analysis'), and enumerates what it returns (comparable rates, market average, optimization suggestions, seasonal adjustments). This distinguishes it from sibling tools like check_vacation_rental_availability_and_pricing, which focus on availability rather than competitive analysis.
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 usage context—'pricing analysis'—but does not explicitly state when to use this tool versus alternatives. It mentions required and optional parameters ('Pass location (required), optional property_id...'), which is more parameter guidance than usage guidance. No explicit when-not or alternative recommendations are provided.
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.
There is significant overlap and redundancy among tools, causing ambiguity. For example, analyze_booking_threat_risk, analyze_guest_communication_risk, and analyze_guest_interaction_risk are aliases or near-duplicates, and multiple tools like get_vacation_rental_details and fetch_vacation_rental_details appear to serve the same purpose. This makes it difficult for an agent to choose the correct tool without confusion.
Most tools follow a consistent verb_noun pattern (e.g., check_vacation_rental_availability_and_pricing, get_vacation_rental_details), which aids readability. However, there are minor deviations, such as some tools using 'analyze' vs. 'assess' or 'detect' for similar risk functions, and a few tools like 'ingest_philadelphia_public_records' use a different verb style, but overall the naming is largely predictable.
With 67 tools, the count is excessive for a vacation rental server, leading to bloat and potential overwhelm. Many tools could be consolidated (e.g., multiple risk analysis tools, duplicate property detail fetchers), and the scope feels unfocused, including niche tools like those for Philadelphia events or World Cup compliance that might be better handled as parameters in broader tools.
The tool set provides comprehensive coverage for the vacation rental domain, including booking, risk assessment, compliance, maintenance, evidence management, and guest interactions. There are no obvious gaps; it supports full CRUD/lifecycle operations and specialized workflows, ensuring agents can handle most scenarios without dead ends.
