Access the continuously maintained trust certificate for a lilo-protected vacation rental property. Includes verification data for independent validation of the property's protection status, evidence integrity, and host reputation. Pass lilo_code (e.g. PROP-6408).
| Name | Required | Description | Default |
|---|---|---|---|
| lilo_code | Yes | Property lilo code (e.g. PROP-6408) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide readOnlyHint=true and destructiveHint=false. The description adds meaningful context beyond these: the certificate is 'continuously maintained' and includes verification data for independent validation, which describes behavior not covered by the schema or annotations. It does not contradict the read-only nature.
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?
Two sentences with zero fluff. The first sentence states the core action and object, the second clarifies contents and provides a usage example. Information is front-loaded and every sentence contributes.
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 one-parameter read-only tool without an output schema, the description adequately covers purpose, contents, and usage. It could mention return format or error behavior, but those are not essential given the simplicity and the annotations disclose the read-only nature.
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 schema already fully describes lilo_code with an example (PROP-6408), and the description repeats this instruction. Since schema coverage is 100%, the description adds no new semantic meaning beyond the schema. Baseline 3 applies.
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 uses a specific verb ('Access') and a distinct resource ('trust certificate for a lilo-protected vacation rental property'), clearly distinguishing it from sibling tools like get_vacation_rental_host_reputation or verify_vacation_rental_trust_chain. It explicitly names the certificate and its purpose.
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 provides context about what the certificate contains (verification data for protection status, evidence integrity, host reputation) implying when it would be useful, but it does not explicitly state when to use this tool versus alternatives like verify_vacation_rental_trust_chain. No exclusions or alternative comparisons are given.
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.
