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opentable-mcp

by chrischall
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TypeScript
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opentable_get_profile

Read-only

Retrieve the authenticated OpenTable user's name, contact details, loyalty points and tier, home metro, and member-since date without exposing payment or credit-card data.

Instructions

Get the authenticated OpenTable user's profile: name, email, phones, loyalty points and tier, home metro, member-since date. Payment and credit-card details are never exposed.

Input 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

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds useful value by explicitly guaranteeing that 'Payment and credit-card details are never exposed', which is a privacy constraint not conveyed by the annotations.

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?

Two tightly written sentences with zero waste. The field list is front-loaded, and the privacy note is a valuable addition that 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 profile getter with no output schema, the description lists the returned fields and adds a key privacy guarantee. Combined with rich annotations and full schema coverage, an agent has everything needed to invoke 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%, and the single 'view' parameter is fully documented in the schema, including its enum values and effects. The description adds no additional meaning about the parameter; baseline 3 is appropriate when the schema does all the work.

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?

The description states a specific verb ('Get') and resource ('authenticated OpenTable user's profile'), then enumerates the returned fields (name, email, phones, loyalty points and tier, home metro, member-since date). This clearly distinguishes it from all sibling tools, which handle reservations, favorites, restaurants, menus, and health.

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

Usage Guidelines2/5

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

The description does not provide any when-to-use guidance, prerequisites, or alternatives. It states what the tool fetches but never says when an agent should call it versus another tool or in what workflow context it is appropriate.

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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