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AroFlo: Get Locations

aroflo_get_locations
Read-onlyIdempotent

Retrieve location data from AroFlo by applying filters, sorting results, and joining related areas to access specific site information.

Instructions

Query the AroFlo Locations zone (GET). Use pipe-delimited WHERE clauses like "and|field|=|value", ORDER clauses like "field|asc", and JOIN areas like "lineitems". where/order/join accept either a single string or an array. mode: data|verbose|debug|raw (default: data). Set compact=true and optionally select=["field","nested.field"] to reduce payload size. See resource "aroflo://docs/api/" (example: "aroflo://docs/api/quotes") for valid fields/values.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
whereNo
orderNo
joinNo
pageNo
pageSizeNo
autoPaginateNo
maxPagesNo
maxResultsNo
maxItemsTotalNo
validateWhereNo
modeNo
verboseNo
debugNo
rawNo
compactNo
selectNo
maxItemsNo
extraNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The tool `aroflo_get_locations` is dynamically registered within the `registerZoneGetTools` function. The `toolName` is constructed as `aroflo_get_${zoneToToolSuffix(zone)}`, where `zone` is "Locations" from the `AROFLO_ZONES` array. The handler logic (lines 77-270) performs the API query, pagination, optional compacting, and returning the result.
    server.registerTool(
      toolName,
      {
        title: `AroFlo: Get ${zone}`,
        description:
          `Query the AroFlo ${zone} zone (GET). ` +
          `Use pipe-delimited WHERE clauses like "and|field|=|value", ORDER clauses like "field|asc", and JOIN areas like "lineitems". ` +
          `where/order/join accept either a single string or an array. ` +
          `mode: data|verbose|debug|raw (default: data). ` +
          `Set compact=true and optionally select=[\"field\",\"nested.field\"] to reduce payload size. ` +
          `See resource "aroflo://docs/api/<slug>" (example: "aroflo://docs/api/quotes") for valid fields/values.`,
        inputSchema,
        // MCP SDK expects output schemas to be object schemas (or raw object shapes).
        // `z.any()` causes output validation to crash under the current SDK.
        outputSchema: z.object({}).passthrough(),
        annotations: {
          readOnlyHint: true,
          idempotentHint: true,
          openWorldHint: true
        }
      },
      async (args) => {
        const mode = resolveOutputMode(args);
        const envelopeRequested =
          typeof args.mode === 'string' || Boolean(args.raw) || Boolean(args.verbose);
        try {
          const where = normalizeWhereParam(args.where);
          const order = normalizeOrderParam(args.order);
          const join = normalizeJoinParam(args.join);
    
          if (args.validateWhere !== false) {
            await validateWhereOrThrow({ zone, where });
          }
    
          const autoPaginate = Boolean(args.autoPaginate);
          const startPage = args.page ?? 1;
          const pageSize = args.pageSize ?? (autoPaginate ? 200 : undefined);
          const maxResultsRaw =
            typeof args.maxItemsTotal === 'number' ? args.maxItemsTotal : args.maxResults;
          const maxResults =
            typeof args.maxResults === 'number' && typeof args.maxItemsTotal === 'number'
              ? Math.min(args.maxResults, args.maxItemsTotal)
              : maxResultsRaw;
          const maxPages = args.maxPages ?? (autoPaginate ? 25 : undefined);
    
          const debugInfo: Record<string, unknown> | undefined = args.debug
            ? {
                zone,
                normalized: {
                  where,
                  order,
                  join,
                  page: startPage,
                  pageSize,
                  extra: args.extra
                }
              }
            : undefined;
    
          let response = await client.get(zone, {
            where,
            order,
            join,
            page: startPage,
            pageSize,
            extra: args.extra
          });
    
          let pagesFetched = 1;
          let truncated = false;
          let truncatedReason: string | undefined;
          let nextPage: number | undefined;
    
          if (autoPaginate) {
            let currentPage = startPage;
            let lastPageCount = extractZoneItems(zone, response.data).items.length;
            while (true) {
              const total = extractZoneItems(zone, response.data).items.length;
    
              if (typeof maxResults === 'number' && total >= maxResults) {
                truncated = true;
                truncatedReason = 'maxResults';
                nextPage = currentPage + 1;
                break;
              }
    
              if (typeof maxPages === 'number' && pagesFetched >= maxPages) {
                truncated = true;
                truncatedReason = 'maxPages';
                nextPage = currentPage + 1;
                break;
              }
    
              if (typeof pageSize === 'number' && lastPageCount < pageSize) {
                break;
              }
    
              currentPage += 1;
              const next = await client.get(zone, {
                where,
                order,
                join,
                page: currentPage,
                pageSize,
                extra: args.extra
              });
    
              // If the next page contributes nothing, stop.
              const nextCount = extractZoneItems(zone, next.data).items.length;
              if (nextCount === 0) {
                break;
              }
    
              response = {
                ...response,
                data: mergeZoneResponseData(response.data, next.data).merged
              };
              pagesFetched += 1;
              lastPageCount = nextCount;
    
              // Stop if the last page was short.
              if (typeof pageSize === 'number' && nextCount < pageSize) {
                break;
              }
            }
          }
    
          if (typeof maxResults === 'number') {
            const total = extractZoneItems(zone, response.data).items.length;
            if (total > maxResults) {
              const { truncated: newData } = truncateZoneArrays(response.data, maxResults);
              response = { ...response, data: newData };
              truncated = true;
              truncatedReason = truncatedReason ?? 'maxResults';
            }
          }
    
          let compactApplied = false;
          let effectiveResponse = response;
          const defaultSelect =
            zone === 'Tasks' && args.compact && (!args.select || args.select.length === 0)
              ? [
                  'taskid',
                  'jobnumber',
                  'status',
                  'taskname',
                  'daterequested',
                  'createdutc',
                  'clientid',
                  'org.orgid',
                  'org.orgname',
                  'projectid',
                  'stageid',
                  'project.projectid',
                  'project.projectname',
                  'tasktotals.totalhrs'
                ]
              : undefined;
          const select = args.select ?? defaultSelect;
    
          if (args.compact || (select && select.length > 0) || args.maxItems) {
            compactApplied = true;
            const compactedData = compactZoneResponseData(response.data, {
              select,
              maxItems: args.maxItems
            });
            effectiveResponse = { ...response, data: compactedData };
          }
    
          // Backward compatible default: return the full AroFlo client response, optionally
          // annotated with pagination/debug metadata. The new minimal envelope is opt-in via
          // args.mode / args.verbose / args.raw.
          if (!envelopeRequested) {
            let finalData: unknown = effectiveResponse.data;
            if (autoPaginate || truncated) {
              finalData = withZoneResponseMeta(finalData, {
                pagesFetched,
                truncated,
                truncatedReason,
                nextPage
              });
            }
            if (debugInfo) {
              finalData = withDebug(finalData, debugInfo);
            }
            return successToolResult({ ...effectiveResponse, data: finalData });
          }
    
          const out = buildZoneDataEnvelope({
            zone,
            response: effectiveResponse,
            page: startPage,
            pageSize,
            mode,
            mcp:
              autoPaginate || truncated
                ? {
                    autoPaginate,
                    pagesFetched,
                    truncated,
                    truncatedReason,
                    nextPage
                  }
                : undefined,
            debug: debugInfo,
            compactApplied,
            select,
            maxItems: args.maxItems
          });
    
          return successToolResult(out);
        } catch (error) {
          return errorToolResult(error, { mode, debug: { zone } });
        }
      }
    );
  • `registerZoneGetTools` iterates through all zones defined in `AROFLO_ZONES` and registers a "get" tool for each (excluding 'LastUpdate'). This is where `aroflo_get_locations` is registered.
    export function registerZoneGetTools(server: McpServer, client: AroFloClient): void {
  • The input schema used by the `aroflo_get_locations` tool (and other zone query tools).
    const inputSchema = {
      where: stringOrStringArraySchema.optional(),
      order: stringOrStringArraySchema.optional(),
      join: stringOrStringArraySchema.optional(),
      page: z.number().int().positive().optional(),
      pageSize: z.number().int().positive().max(500).optional(),
      autoPaginate: z.boolean().optional(),
      maxPages: z.number().int().positive().max(200).optional(),
      maxResults: z.number().int().positive().max(5000).optional(),
      maxItemsTotal: z.number().int().positive().max(5000).optional(),
      validateWhere: z.boolean().optional(),
      mode: z.enum(['data', 'verbose', 'debug', 'raw']).optional(),
      verbose: z.boolean().optional(),
      debug: z.boolean().optional(),
      raw: z.boolean().optional(),
      compact: z.boolean().optional(),
      select: z.array(z.string().min(1)).optional(),
      maxItems: z.number().int().positive().max(500).optional(),
      extra: z.record(z.string(), queryValueSchema).optional()
    };
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations establish read-only/idempotent safety; the description adds valuable behavioral context including payload optimization ('compact=true...reduce payload size'), response modes ('data|verbose|debug|raw'), and the GET method. No contradictions with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Information-dense single paragraph where every clause earns its place (syntax examples, defaults, resource references). While functional, breaking into distinct sentences for query syntax, pagination, and documentation references would improve scannability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 18 parameters with zero schema descriptions, the description covers the essential query DSL but leaves critical gaps around pagination behavior and the distinction between overlapping parameters (e.g., 'maxItems' vs 'maxResults'). The pointer to external docs mitigates this but doesn't fully resolve the ambiguity for immediate usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema coverage, the description compensates partially by documenting the complex query syntax for 'where', 'order', 'join', 'mode', 'compact', and 'select' with concrete examples. However, it fails to explain 12 other parameters including pagination controls (page/maxPages/maxResults/maxItemsTotal relationships) and boolean flags that mirror mode options (verbose/debug/raw).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States specific verb 'Query' and resource 'AroFlo Locations zone (GET)', clearly identifying the target entity. However, it does not explicitly distinguish when to use this specific tool versus the generic 'aroflo_query_zone' sibling, which is important given both can query data.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides syntax examples for the domain-specific query language (pipe-delimited WHERE clauses) and references external documentation resources ('aroflo://docs/api/<slug>'). Lacks explicit guidance on when to prefer this over the generic query tool or prerequisites like authentication requirements.

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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