configure_map
shallowai.easyterritory/ezt-mcp · Verify this server
[Tier 2 — Durable Map Config] When: set or update project_name (the durable TS short name used as the Map Component heading), loaded_part_layers, active_part_layer, active_tal_id, point_layer_classifications, classification, presentation, center, or zoom on the TS. project_name is first-class: persists to ts.properties.map_config.project_name and emits config_changed so a linked session refreshes the heading in place. POINT SYMBOLOGY: point_layer_classifications is the way to recolor/resize/reshape points on an open map — never export GeoJSON, compute breaks client-side, and repost a TS. Each entry is {point_layer, field, method: quantile|equal_interval|categorical|manual, class_count (2-12), channel: color|size|shape, optional colors/sizes/shapes, optional style:{color,size,opacity,shape} for the layer base symbol}. Supported shapes: circle|square|triangle|diamond|star|cross|house|pin|flag|hexagon|pentagon|shield|arrow_up|building (aliases home→house, marker/map_pin→pin, hex→hexagon, arrow/up→arrow_up, warehouse/depot→building, plus/x→cross). The server computes breaks from the in-session points, writes point_layers[].<channel>_classification, pushes config_changed, and returns the applied classes with per-class counts. Categorical missing values become an Ungrouped class. One classification per channel per layer: a second color entry replaces the first. Two encodings on one layer mix channels (color+size or color+shape). clear:true with point_layer and channel drops that channel classification, including a same-channel classification object. Other channels and the base style stay. active_channels reports the channels still set. Method defaults to quantile for numeric fields and categorical otherwise; pass one entry per layer to give two point layers distinct colors or shapes. classification (without a point_layer) stays a project-level map_config patch and does NOT paint points; a point-layer-targeted classification is routed to symbology with a warning. PART LAYERS: builds never load a part layer overlay; ZIP/county outlines appear only when named. loaded_part_layers=[ids] shows them, loaded_part_layers=[] hides them all (active_part_layer clears too), and the choice persists across later builds. request_part_selection loads the part_layer it selects on. Optional center ([longitude, latitude]) and zoom (0-24) persist as the TS default camera and jump an open MC when included on this call; Monica's pan is not captured. Prefer map_session_id for an open MC — the live session TS is the patch base; a stale pre-ingest ts_handle must not strip points/part layers. Not the entry tool for browsing a TS — that is get_map_visualization (I-1). Prerequisites: map_session_id, ts_handle, or inline ts; points already ingested before point_layer_classifications; part_layer from ezt://part-layers before builds. Next: build or analyze; if active TAL changes, re-run analyze then load_analysis_panel (I-2). Scenarios: MC-010, MC-012, DS-001, baseline workflow step 4.
1 trials · measured 2 days ago
configure_map scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against ai.easyterritory/ezt-mcp, measured 6 Oct 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- gated
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-10-06 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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