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Google Search Console MCP Intel Engine

Google Search Console MCP Intel Engine

by surendranb

check_for_updates

Read-onlyIdempotent

Checks PyPI for available updates to this MCP server and returns upgrade instructions.

Instructions

Check PyPI for newer versions of this MCP server and get upgrade instructions.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.10.10

TDQS

A4/5.0
Behavior3/5

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

The annotations already declare readOnlyHint, idempotentHint, and no destructive behavior, so the safety profile is covered. The description contributes real context the annotations don't: the check is against an external package index (PyPI) and the result includes upgrade instructions, though it says nothing about failure modes such as being offline. Note a mild tension with openWorldHint=false, since contacting PyPI is an external lookup.

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?

One front-loaded sentence with zero filler that names both the action and the return value. Nothing could be removed without losing meaning.

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

Completeness4/5

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 burden is light, and the description covers both the source of the data (PyPI) and the shape of the answer (newer version plus upgrade instructions). Only offline/network-failure behavior is left implicit.

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 is nothing for the description to disambiguate; baseline 4 applies. It correctly signals that no input options exist by describing a parameterless check.

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 and resource ('check PyPI for newer versions of this MCP server') plus the secondary output ('get upgrade instructions'). It is unmistakably distinct from every sibling, which are all Git/SEO-related list, submit, or analytics tools.

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

Usage Guidelines3/5

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

The usage is implied by the tool name and description – call it to see whether an update exists. There are no explicit triggers ('use when the user asks about versions'), and no alternatives exist to route against, so guidance is adequate but not spelled out.

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