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chrischall

workday-mcp

by chrischall

Verify the ContextMint Bridge connection end-to-end

workday_healthcheck
Read-onlyIdempotent

Diagnose Workday MCP failures by round-tripping a public wd5.myworkday.com URL through your browser bridge. Returns bridge role, extension link, round-trip time, and plain-English hop hints.

Instructions

Round-trips a small public wd5.myworkday.com URL (/acme-corp/get-global-prefs.htmld?feature=doNotShowMobileAd) 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 wd5.myworkday.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 observedv0.1.0

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, openWorldHint and idempotentHint, and the description still adds substantial context beyond them: no auth required, the exact round-trip URL, the diagnostic fields returned (role, port, version, extension link state, elapsed time) and the plain-English hint categories for diagnosing failures. This is a genuine healthcheck tool whose diagnostic output must be explained, and the description does that.

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?

A single dense sentence front-loads the action, followed by the return contract and the call trigger. Every clause carries information, though the URL literal and the four-way hint enumeration make it longer than strictly necessary; still front-loaded and free of filler.

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 so thoroughly — enumerating the diagnostic fields and the failure-mode hints. Safety posture is covered by annotations. Nothing an agent needs to call this correctly 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?

There are zero parameters, so the baseline is 4. The description notes the URL is hardcoded and that no auth is required, which is the only parameter-relevant context available for a parameterless tool.

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 verb (round-trips), a specific resource (a known wd5.myworkday.com URL), and the mechanism (ContextMint Bridge / signed-in browser tab), then enumerates what it returns. This is clearly a diagnostics/healthcheck tool, distinguishable from the data-fetching siblings like workday_fetch and workday_get_worker.

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

Usage Guidelines5/5

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

'Call this when a real tool fails and you want to know which hop broke' gives an explicit trigger condition and implicitly routes the agent to the real tools otherwise. The hint taxonomy also tells the agent how to interpret the result, which is guidance that most definitions omit.

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