Dim Hour

List new venues

list_new_venues

Read-only

Venues recently added to the Dim Hour catalog — across all 26 cities or one city. Use for 'what's new on Dim Hour' / new-opening alerts / weekly digests. Scored places to eat and drink come first; hotels, malls, museums and landmarks carry no score and follow them. Recency orders within each group. Dates earlier than 2026-06-06 are estimates reconstructed from history.

Input Schema

TableJSON Schema

Name	Required	Description
`city`	No	Optional city name or key; omit for all cities
`days`	No	Look-back window in days, default 30 (max 90)
`limit`	No	Max results, default 25

Output Schema

TableJSON Schema

Name	Required	Description	Default
`city`	Yes
`venues`	Yes
`receipt`	Yes
`showing`	Yes
`total_new`	Yes
`window_days`	Yes
`feed_generated`	No

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedOct 3, 2026
- addedOutput schema / properties / receipt / properties / scope_note
```
Added value: +{
+  "type": [
+    "string",
+    "null"
+  ]
+}
```

Changed2 schema fields changedSep 17, 2026

addedOutput schema / properties / receipt

Added value: +{
+  "additionalProperties": false,
+  "properties": {
+    "abstained": {
+      "type": "boolean"
+    },
+    "as_of": {
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "as_of_scope": {
+      "type": "string"
+    },
+    "reason": {
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "source": {
+      "type": "string"
+    },
+    "stale": {
+      "type": "boolean"
+    }
+  },
+  "required": [
+    "as_of",
+    "as_of_scope",
+    "source",
+    "abstained",
+    "stale",
+    "reason"
+  ],
+  "type": "object"
+}

changedOutput schema / required

Previous value: -[
-  "window_days",
-  "city",
-  "total_new",
-  "showing",
-  "venues"
-]New value: +[
+  "window_days",
+  "city",
+  "total_new",
+  "showing",
+  "receipt",
+  "venues"
+]

First observedSep 6, 2026

TDQS

A4.3/5.0

Behavior4/5

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

Annotations already declare readOnly/openWorld=false/destructive=false, but the description adds real behavioral context: grouped result ordering (scored eat/drink first, un-scored venue types after), recency ordering within groups, and a data-quality caveat that dates before 2026-06-06 are reconstructed estimates. Pagination behavior is not mentioned, keeping it short of a 5.

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

Conciseness5/5

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

Three sentences, front-loaded with scope and purpose, then usage, then result semantics and the date caveat. No filler and nothing repeated from structured fields.

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

Completeness5/5

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

With an output schema present, return values need not be explained, and the description covers scope, ordering/grouping, and the estimate caveat for early dates. An agent has everything needed to call it correctly.

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?

Schema description coverage is 100%, so city/days/limit are already documented in the schema with defaults and bounds. The description only alludes to the city parameter ('all 26 cities or one city') and adds no syntax or format detail beyond the schema — baseline 3 applies.

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

Purpose5/5

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

States a specific verb+resource+scope: venues 'recently added to the Dim Hour catalog', across all 26 cities or one city. The recency qualifier cleanly distinguishes it from siblings like search_venues, find_places and list_curated.

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

Usage Guidelines4/5

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

Gives concrete use cases ('what's new on Dim Hour', new-opening alerts, weekly digests), which tells the agent when this tool is the right pick. It stops short of naming an alternative tool or stating when not to use it.

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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