Field Ops
Server Details
AI agents hire a human to observe, log or film on site. Typed results, feasibility before payment.
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 4 tools
Each tool has a distinct role in the lifecycle: capabilities defines terms, check_feasibility pre-validates, order places, and mission_status tracks. No two tools overlap in purpose, and descriptions clearly delineate when to use each.
Names mix conventions: 'capabilities' and 'order' are bare nouns, while 'check_feasibility' and 'mission_status' use snake_case with different patterns (verb_noun vs noun_noun). All are lowercase and readable, but there is no uniform verb_noun pattern across the set.
Four tools is well-scoped for a field operations server, covering the essential workflow without redundancy. Each tool earns its place, and the count is neither too thin nor excessive.
The core flow of feasibility check, order placement, and status tracking is covered, along with upfront capability info. Missing operations like cancellation or update are minor gaps that agents could work around, but the primary lifecycle is complete.
Available Tools
4 toolscapabilitiesAInspect
Coverage areas, accepted question and shot types, refusal reasons declared up front, pricing and guarantees.
Inputs: no named parameters.
check_feasibilityAInspect
Tells you BEFORE paying whether a request can be done, at what price and lead time, with an explicit refusal reason otherwise. Call this first. Modes: observe (closed questions, typed answers), watch (steerable log over a slot), capture (specified shots delivered under a licence).
Inputs: location (required), declared_purpose (required), mode, hours, +3 more.
mission_statusCInspect
Status of a placed mission.
Inputs: mission (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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