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FieldRoutes MCP Server and API by Cotlet

Schedule appointment in FieldRoutes

fieldroutes_schedule_appointment
Read-onlyIdempotent

Schedule appointment in the user's own FieldRoutes account from ChatGPT, Claude or any AI agent. Returns how to do it in FieldRoutes step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's FieldRoutes Cloud Browser. FieldRoutes's official API: FieldRoutes has a documented API, but keys come only through FieldRoutes support for each office, and the free tier allows 50 read requests a day per office (checked 8 Nov 2026).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "fieldroutes_schedule_appointment"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

Beyond the annotations it discloses the key behavioral fact: the tool returns a guide and 'opens nothing by itself,' which matches readOnlyHint=true and destructiveHint=false and prevents the agent from assuming the appointment was created. The closing API paragraph adds context but is about the official FieldRoutes API rather than this tool, so it is extra color rather than a disclosure about this call.

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

Conciseness3/5

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

The first two sentences are well front-loaded and carry the essential meaning. The final sentence on API key provisioning and 50 read requests per day is largely irrelevant to a scheduling workflow that runs through the browser, and the 'checked 8 Nov 2026' date adds noise.

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?

For a zero-parameter tool with no output schema, the description is adequate on mechanism and next steps. It does not tell the agent what information to gather from the user (customer, service, date/time) before running the browser steps, which is the main practical gap for a scheduling task.

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

Parameters4/5

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

The tool takes zero parameters, so the baseline is 4; the schema already states everything relevant. The description could have noted that appointment details (customer, date, service) must come from the conversation rather than the tool, but with an empty schema that is a minor omission.

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?

The description states a specific verb and resource (schedule appointment in FieldRoutes) and clarifies the surprising mechanism: it returns step-by-step UI instructions rather than performing the action. It does not name or distinguish itself from the sibling fieldroutes_reschedule_appointment, so an agent must infer the boundary between scheduling and rescheduling.

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?

It gives a clear follow-up path (use cotlet_browser_* tools in the user's FieldRoutes Cloud Browser after reading the steps), which implies when to use it. It offers no explicit when-not guidance and never mentions rescheduling or the read-only list siblings, so the choice among FieldRoutes tools is left to inference.

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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