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Find WordPress plugin opportunities

find_plugin_opportunities

Identify WordPress and WooCommerce plugins with large user bases that are abandoned, low-rated, or poorly supported, providing ranked opportunity scores. Use presets or niche tags to filter by install range and max rating.

Instructions

Find WordPress (or WooCommerce) plugins that are commercial opportunities — large, established user bases paired with abandonment, low ratings, or poor support, i.e. plugins you could realistically replace or out-build. Use a preset for a curated angle, and/or narrow by tag (niche), install range, and max rating. Returns a ranked, capped list with opportunity scores. Powered by wpgoldmine.io.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagNoNarrow to a niche by WordPress.org tag/slug, e.g. "seo", "forms", "backup".
presetNoA preset key from list_opportunity_presets (e.g. "abandoned-plugins"). Composes with `tag`.
ecosystemNoWhich catalog to search. Defaults to wordpress.
max_ratingNoMaximum rating on a 0-100 scale (lower = more dissatisfied users).
max_installsNoMaximum active installs (exclusive).
min_installsNoMinimum active installs.
Behavior3/5

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

No annotations exist, so the description carries full burden. It discloses returns are 'ranked, capped list with opportunity scores' and mentions an external data source. However, it lacks details on rate limits, authentication needs, or data freshness, which would be helpful.

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?

Three sentences, front-loaded with purpose, then usage, then return value. No redundancy, every sentence earns its place.

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 6 parameters and no output schema, the description explains what the tool returns (ranked, capped list with opportunity scores). It could mention potential limits like page size, but for a discovery tool this is adequate.

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?

Schema coverage is 100%, baseline 3. The description adds meaning by explaining that 'preset' provides a curated angle and composes with 'tag', which goes beyond the schema's basic property descriptions.

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 clearly states the tool finds WordPress/WooCommerce plugins that are commercial opportunities, with specific criteria (large user bases, abandonment, low ratings). It differentiates from siblings 'get_plugin' and 'list_opportunity_presets' by focusing on opportunity discovery.

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 gives explicit usage guidance: 'Use a preset for a curated angle, and/or narrow by tag, install range, and max rating.' It doesn't explicitly state when not to use, but clarity on composition with presets and tags is sufficient.

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

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