get_okc_hvac_service_area
Get the Covington Heat & Air service area, and optionally check whether a given city or ZIP is covered.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| cityZip | No |
Get the Covington Heat & Air service area, and optionally check whether a given city or ZIP is covered.
| Name | Required | Description | Default |
|---|---|---|---|
| cityZip | No |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the behavioral burden. The verbs 'Get' and 'check' establish that this is a read-only lookup, and the optional city/ZIP filtering is disclosed. However, it does not describe the response format or any edge cases such as unlisted ZIPs or partial coverage.
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 front-loads the primary purpose and then adds the optional behavior. Every word earns its place, with no repetition or filler.
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 tool with one optional parameter and no output schema, the description covers both invocation modes: retrieving the service area and checking a specific city/ZIP. It does not detail the return shape, but the purpose and parameter semantics are sufficiently complete for an agent to use it correctly.
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 provides only a parameter name 'cityZip' with zero description coverage. The description adds meaningful semantics by explaining that it is a city or ZIP code used for an optional coverage check. It lacks concrete format examples or accepted value styles, but it does give the agent enough to infer what to pass.
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 action ('Get'), a clear resource ('the Covington Heat & Air service area'), and an optional sub-behavior (checking whether a city or ZIP is covered). This is distinct from the sibling tools, which deal with articles, business info, repair analysis, and booking/lead requests.
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 clearly indicates when to use the tool: when you need the service area or need to check coverage for a specific city/ZIP. It does not explicitly name alternatives or exclusions, but the sibling tools are sufficiently distinct that no confusion is likely.
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.
Each tool targets a distinct action or resource: retrieving articles, searching articles, getting business info, checking service area, describing the analysis tool, running the analysis, and submitting two different types of contact requests. The two content tools are clearly separated as search vs. full retrieval, and booking vs. lead submissions are differentiated by their descriptions.
All tool names follow a consistent verb_noun pattern with snake_case: get_*, search_*, run_*, and submit_*. While the domain prefixes vary (hvac, okc_hvac, covington, repair_or_replace), the overall grammatical structure is uniform and predictable.
Eight tools is well-scoped for this server's purpose. It covers content discovery, business information, service area verification, decision tool metadata, the actual analysis, and two conversion paths without unnecessary redundancy.
The tool surface covers the full user journey: learning through articles, verifying eligibility through service area, running the repair-or-replace analysis, and taking action via booking or lead submission. For a read-mostly decision tool and lead generation server, there are no meaningful dead ends.