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chrischall

opentable-mcp

by chrischall

Verify the ContextMint Bridge connection end-to-end

opentable_healthcheck
Read-onlyIdempotent

Diagnose which hop broke when an OpenTable MCP tool fails by round-tripping /robots.txt through your browser bridge, returning bridge, extension, and timing diagnostics.

Instructions

Round-trips a small public www.opentable.com URL (/robots.txt) through ContextMint Bridge (your signed-in browser tab) and returns diagnostics: the bridge's role (host/peer/null), port, version, the extension link (linked / pair pending / not attached / never answered), the elapsed round-trip time, and a plain-English hint distinguishing 'bridge never came up' from 'extension not connected' from 'this browser can't serve a capability' from 'real www.opentable.com-side problem'. Read-only, no auth required. Call this when a real tool fails and you want to know which hop broke.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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. Addedv0.18.1

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, and openWorld, and the description confirms read-only/no-auth. Beyond that it discloses what the round-trip actually probes and enumerates the failure classes the hint distinguishes (bridge never came up vs extension not connected vs capability unavailable vs site-side problem), which is real behavioral value the annotations don't carry.

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

Conciseness4/5

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

Front-loaded with the mechanism, then the returned fields, then the call condition. The middle sentence is dense with enumerations, but every item is a distinct diagnostic the agent needs, so little is wasted. Slightly heavy for a single read-only probe.

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 no output schema, the description must carry the return contract, and it does — it names each diagnostic field and the categories of hint returned. Combined with annotations covering safety, an agent has everything needed to call this correctly and interpret the result.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Zero parameters, so the schema imposes no burden and the baseline is 4. The description correctly adds no parameter commentary because there is nothing to parameterize — the URL and target are fixed internally.

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 action (round-trips /robots.txt through the ContextMint Bridge) and the exact output (bridge role, port, version, link state, elapsed time, hint). This is unmistakably a connectivity diagnostic, cleanly separable from the booking/reservation siblings that share the opentable_ prefix.

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 an explicit trigger: 'Call this when a real tool fails and you want to know which hop broke.' That is clear when-to-use guidance. It doesn't spell out when NOT to use it (e.g., for routine preflight checks), but no sibling competes for this role.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.