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seo-console-mcp

wporg_plugin

Retrieve WordPress.org plugin statistics by slug, including installs, downloads, ratings, and support data. Uses the public API without requiring credentials.

Instructions

Look up a WordPress.org plugin's install base, downloads, ratings, and support stats by slug; public API, no credentials or API key needed

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesWordPress.org plugin slug, e.g. akismet
downloadDaysNoDays of daily download history to fetch; 0 skips it
includeVersionDistributionNoAlso fetch the share of active installs on each plugin version

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
slugYes
tagsYes
addedYes
notesYes
ratingYes
testedYes
ratingsYes
versionYes
requiresYes
downloadedYes
numRatingsYes
lastUpdatedYes
requiresPhpYes
downloadLinkYes
versionCountYes
activeInstallsYes
dailyDownloadsYes
supportThreadsYes
downloadSummaryYes
possiblyLaggingYes
versionDistributionYes
supportThreadsResolvedYes
activeInstallsIsBucketedYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.18.0

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses that the operation is a public API lookup requiring no credentials, which implies a safe read-only action. It does not mention rate limits or potential errors, but for a simple data retrieval tool, this level of disclosure is reasonably transparent.

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 sentence that front-loads the primary purpose and then adds the access condition. Every word earns its place, with no redundancy or 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?

An output schema exists, so return values are documented. The description covers the tool's purpose, access method (public API, no credentials), and scope. All parameters are fully documented in the schema with defaults and constraints, so an agent has everything needed to call the tool correctly.

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 coverage is 100%, so the schema already documents all three parameters with descriptions, defaults, and constraints. The description adds no additional parameter-level meaning beyond stating the lookup is 'by slug', which matches the required parameter. Baseline 3 is appropriate.

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?

The description states a specific action 'Look up' with a precise resource 'WordPress.org plugin's install base, downloads, ratings, and support stats' and the key 'by slug'. It clearly distinguishes from all sibling tools, which are in SEO, app store, or ads domains, leaving no ambiguity about what this tool does.

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?

The description explicitly notes it uses a public API with no credentials or API key needed, providing a clear context for use. However, it does not offer explicit when-not-to-use guidance or name alternatives, though sibling tools are obviously unrelated, so the implied usage is clear.

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