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opentable-mcp

by chrischall
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TypeScript
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opentable_list_favorites

Read-only

Retrieve your saved OpenTable restaurants, including cuisine, neighborhood, price band, rating, and URL. Get a complete favorites list in one call.

Instructions

List the user's saved restaurants from OpenTable (Saved Restaurants list). Returns each entry's id, name, cuisine, neighborhood, price band, rating, and OpenTable URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
viewNoResponse shape: "compact" (default) drops fields the response already carries elsewhere; "full" returns every field this server understands. compact strips image/avatar URLs from the response; "full" returns OpenTable's payload untouched. No field projection: this server has no verified record of which OpenTable fields matter, and inventing one would risk dropping a field a caller needs.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.0.0
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. Changed2 schema fields changedv0.19.2
    • addedInput schema / $schema
      Added value: +"http://json-schema.org/draft-07/schema#"
    • addedInput schema / properties / view
      Added value: +{
+  "description": "Response shape: \"compact\" (default) drops fields the response already carries elsewhere; \"full\" returns every field this server understands. compact strips image/avatar URLs from the response; \"full\" returns OpenTable's payload untouched. No field projection: this server has no verified record of which OpenTable fields matter, and inventing one would risk dropping a field a caller needs.",
+  "enum": [
+    "compact",
+    "full"
+  ],
+  "type": "string"
+}
  3. First observedv0.14.3

TDQS

A4.1/5.0
Behavior3/5

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

With readOnlyHint=true, the annotation already covers the non-mutating behavior. The description adds a useful account of what the response contains (id, name, cuisine, neighborhood, price band, rating, URL), but it does not disclose potential traits such as authentication requirements, empty-list behavior, or pagination.

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?

A single front-loaded sentence states the action and resource immediately, and the appended field list is informative without bloat. Every part earns its place.

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?

For a simple read-only list with one optional parameter and no output schema, the description covers the operation, the return payload, and the relevant domain. The schema fully documents the only parameter, so nothing needed to call it correctly is missing.

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%, and the view parameter's enum and description are already explicit about compact/full behavior and defaults. The tool description itself adds no parameter-level detail, so the baseline of 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?

Description states a specific verb ('List'), resource ('user's saved restaurants from OpenTable'), and explicitly names it as the Saved Restaurants list. It also enumerates the returned fields, distinguishing it from siblings like opentable_list_reservations and opentable_search_restaurants.

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 phrase 'user's saved restaurants from OpenTable (Saved Restaurants list)' provides clear context that this tool is for reading the current user's favorites rather than reservations or search results. It does not explicitly name alternative tools or exclusions, so it stops short of a 5.

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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