get_carpark_availability
Current lots available per lot type for one HDB carpark code (live from data.gov.sg).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| code | Yes | carpark code, e.g. HE12 |
Current lots available per lot type for one HDB carpark code (live from data.gov.sg).
| Name | Required | Description | Default |
|---|---|---|---|
| code | Yes | carpark code, e.g. HE12 |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. It adds useful context that the data is live and sourced from data.gov.sg, but does not cover permissions, rate limits, output format, or error behavior.
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 front-loaded sentence with no redundant content. The parenthetical source note is useful and compact.
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 simple one-parameter read tool with no output schema, the description is nearly complete: it states the return content (availability per lot type), source, and scope. It does not cover edge cases or response structure, but little more is required for correct invocation.
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 has 100% description coverage for the single code parameter, so the baseline is 3. The description reinforces that one HDB carpark code is expected but adds no format or validation details 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?
The description states a specific resource and scope: current lot availability per lot type for one HDB carpark code. It implicitly distinguishes itself from get_carpark_history (current vs. history) and list_carparks (one code vs. many).
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?
It specifies the required input context (one HDB carpark code) but does not explicitly say when to use this tool instead of get_carpark_history or list_carparks. Usage is implied rather than stated.
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.