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Fetch a Dim Hour venue

fetch
Read-only

Get the full Dim Hour record for one venue by the id returned from search: description, signature dishes, address, hours, phone, happy hour, reservation platform, awards, website and Instagram.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesVenue id from `search`, in the form 'city:id' e.g. 'nyc:1367'

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
urlYes
textYes
titleYes
receiptYes
metadataNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • 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: -[
      -  "id",
      -  "title",
      -  "text",
      -  "url"
      -]New value: +[
      +  "id",
      +  "title",
      +  "text",
      +  "url",
      +  "receipt"
      +]
  2. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful context about the returned fields and input provenance, but does not disclose behaviors such as error handling, no-result responses, or any rate limits. No contradiction exists.

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?

The description is one compact sentence with no filler. The most important facts—what is fetched and where the id comes from—are front-loaded, followed by a concise field list.

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

Completeness4/5

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

For a one-parameter read-only fetch with an output schema, the description plus annotations are largely sufficient. The main gap is not explicitly routing the agent away from the similar-sounding sibling get_venue.

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?

The input schema provides 100% coverage of the single `id` parameter, including its format 'city:id'. The description mainly restates that the id comes from `search`, adding little beyond the schema.

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 clearly states the resource: the full Dim Hour record for one venue, and lists the fields returned. It also tells the agent that the id comes from `search`. However, it does not explicitly distinguish itself from sibling get_venue, which sounds like a similar fetch-by-id operation.

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?

The description provides clear context by specifying that the tool takes the id returned from `search`, which implies a post-search lookup workflow. It does not explicitly state when not to use it or name alternatives, but the context is sufficiently clear.

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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