Skip to main content
Glama
surendranb

Core Web Vitals MCP Server

by surendranb

doctor

Validate Google Cloud API credentials, test endpoint reachability, and check test beds to troubleshoot Core Web Vitals audit setup before collecting metrics.

Instructions

Validate Google Cloud API credentials, test endpoint reachability, and check test beds.

Args: api_key: Optional Google API Key to test directly.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It discloses that network endpoint testing occurs and that credentials are validated, which hints at the operation's nature, but it never states whether the tool is read-only, whether it makes live external calls, or what side effects (if any) it has. A diagnostic tool with zero annotation coverage deserves more safety profile context.

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?

The description is brief and front-loads the three core actions before the Args section. The Python-style 'Args:' block is slightly awkward but compact, and no sentence is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values needn't be explained. However, for a credential/diagnostic tool with no annotations, the description leaves key operational questions unanswered: whether it is safe/read-only, and what happens when api_key is null.

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 0% and there is one parameter, so the description must compensate. The Args note does clarify that api_key is optional and is used to 'test directly', adding real meaning over the bare schema — but it doesn't explain the default behavior when the key is omitted (which credentials are tested instead).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names three concrete diagnostic actions — validating Google Cloud API credentials, testing endpoint reachability, and checking test beds — which is far more informative than the opaque name 'doctor'. Siblings (Crux metrics, PageSpeed, skills) are unrelated, so no sibling differentiation is required, but 'check test beds' is vague about what a test bed actually is.

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?

There is no guidance on when to run this diagnostic versus other tools, what triggers it, or what prerequisites exist (e.g. which ambient credentials are used when api_key is omitted). The description only states what it does, leaving the agent to infer that this is a troubleshooting tool.

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