Check a ZIP code
check_service_areaIs a US ZIP code inside the Lexington service area? Returns yes/no and the nearest served town.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| zip | Yes |
check_service_areaIs a US ZIP code inside the Lexington service area? Returns yes/no and the nearest served town.
| Name | Required | Description | Default |
|---|---|---|---|
| zip | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare readOnlyHint, idempotentHint and closed-world scope, so safety is covered. The description usefully adds the return shape (yes/no plus nearest served town), which matters given there is no output schema, but says nothing about invalid input handling or error behavior, so it is solid rather than rich.
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 short sentences, zero filler, with the core question front-loaded and the payoff (return values) immediately after. Nothing could be removed without losing meaning.
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 single-parameter read-only lookup with no output schema, the description covers purpose, expected return values and geographic scope, while annotations carry the safety profile. Only the invalid/edge-case behavior is unstated, which is a minor gap.
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?
With schema description coverage at 0% the description must compensate, and it does so only partially: 'US ZIP code' clarifies geographic scope. The 5-digit format is conveyed by the schema pattern rather than by the description, so this is a baseline-level contribution.
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 names a specific resource (Lexington service area) and a specific input (US ZIP code), and frames the operation as a yes/no membership test. That is precise enough for an agent to know exactly what it does, though it never names or contrasts the siblings get_service_info and request_service.
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?
There is no when-to-use or when-not-to-use guidance. The lookup nature is implied by the phrasing, but nothing tells the agent how this differs from get_service_info or when request_service would instead be the right call.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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