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chrischall

easytable-mcp

by chrischall

Verify the ContextMint Bridge connection end-to-end

easytable_healthcheck
Read-onlyIdempotent

Diagnose why an easyTable reservation tool fails by round-tripping /robots.txt through the signed-in browser bridge, then report bridge role, extension link, timing, and a plain-English failure hint.

Instructions

Round-trips a small public book.easytable.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 book.easytable.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. First observedv0.0.0

TDQS

A4.6/5.0
Behavior5/5

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

Annotations only cover safety/read/idempotency, but the description goes well beyond them: it discloses the exact diagnostic fields returned, the four distinguishable failure states, and that the call is read-only with no auth required. That is exactly the kind of behavioral context annotations cannot 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-loads the core action, then the returned data, then the trigger condition. The middle enumeration sentence is comma-heavy but every clause adds distinct diagnostic value, so it is dense rather than padded.

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 parameters and no output schema, the description fully carries the burden by describing both the invocation and the return payload, including how to interpret failure modes. Nothing an agent needs in order to call or interpret this tool is missing.

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?

The tool takes zero parameters, so there are no parameter semantics to explain and the baseline of 4 applies. Nothing in the description is needed here, and nothing is missing.

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-trip /robots.txt through ContextMint Bridge) and enumerates exactly what it produces (role, port, version, extension link state, elapsed time, hints). It is unmistakably a diagnostics tool and trivially distinguishable from the booking-oriented siblings.

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?

Explicitly tells the agent when to call it: 'when a real tool fails and you want to know which hop broke.' That trigger is clear and actionable. It stops short of naming exclusions or alternatives (e.g., when NOT to reach for it), so it lands just below the full 5.

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