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andrewjpyle

Google Search Console MCP

by andrewjpyle

test_connection

Verify API connectivity and authentication to Google Search Console. Instantly diagnose connection issues before running other queries.

Instructions

Test connection and authentication to the Google Search Console API

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only says 'test connection and authentication', which is vague. It does not state whether the operation is read-only, what happens on success or failure, whether it makes a network call, or what the response looks like. The agent cannot anticipate side effects or return values.

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?

The description is a single, focused sentence with no wasted words. It is appropriately sized for a tool with no parameters and clearly states its purpose upfront.

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

Completeness2/5

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

For a tool with no output schema and no annotations, the description should explain what the agent can expect when calling it. It does not mention return values, error behavior, or any side effects. An agent using this tool would be left guessing about how to interpret the result, making the definition incomplete for effective use.

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 schema coverage is trivially 100%. Per the rubric, a 0-parameter tool gets a baseline of 4. The description has nothing to add about parameters, and no gaps exist.

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 clearly states the verb 'Test' and the resource 'connection and authentication to the Google Search Console API'. It is distinct from siblings like list_sites or search_analytics, which focus on specific operations. However, it does not explicitly contrast itself with the siblings, only implies a distinct purpose.

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 use this tool versus alternatives. It does not mention that it is typically called first to verify authentication before other API calls, nor does it specify any exclusions or prerequisites. An agent has to infer its role from the name alone.

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