List taxonomies
wp_get_taxonomiesList the taxonomies available for a post type, such as categories and tags.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| post_type | No |
wp_get_taxonomiesList the taxonomies available for a post type, such as categories and tags.
| Name | Required | Description | Default |
|---|---|---|---|
| post_type | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare this is a read-only and non-destructive operation, so they cover the main behavioral constraints. The description adds minor context by mentioning concrete examples (categories and tags), which is helpful but not critical behavioral disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that is front-loaded with the most essential information. It achieves high clarity with minimal word count.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (single input parameter, read-only annotations), the description is reasonably complete. It tells the agent exactly what result to expect from the function's purpose.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Since schema coverage is 0%, the description is vital. It clarifies that the input parameter 'post_type' must be a valid WordPress post type, adding necessary semantic constraints beyond the simple 'string' type provided in the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the action (List) and the resource (taxonomies) related to the key input (post type). It effectively distinguishes the function's purpose, though it doesn't explicitly compare it to other list functions.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description is purely descriptive of the tool's function and scope. It offers no guidance on when this tool should be used versus alternatives (like listing terms within a taxonomy or getting post types themselves).
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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