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wp_update_site_settings

Update one or more general WordPress site settings—title, tagline, or timezone—to match your site's needs.

Instructions

Updates one or more general settings for a WordPress site.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteNoThe ID of the WordPress site to target (from mcp-wordpress.config.json). Required if multiple sites are configured.
titleNoThe title of the site.
timezoneNoA city in the same timezone, e.g., 'America/New_York'.
descriptionNoThe tagline or description of the site.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.9.2

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It states 'Updates' which implies a write/mutation operation, but doesn't cover critical aspects like required permissions, whether changes are reversible, error handling, or side effects. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding how the tool behaves.

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, clear sentence that directly states the tool's purpose without any fluff or redundancy. It's front-loaded with the core action and target, making it highly efficient. Every word earns its place, achieving optimal conciseness for this context.

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?

Given that this is a mutation tool with no annotations and no output schema, the description is incomplete. It doesn't address behavioral traits like permissions or side effects, usage guidelines relative to siblings, or what the tool returns. For a tool that modifies site settings, more context is needed to ensure safe and effective use by an agent.

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 description coverage is 100%, so the schema fully documents all four parameters (site, title, description, timezone). The description adds no additional parameter semantics beyond what's in the schema—it doesn't explain relationships between parameters, default behaviors, or constraints. This meets the baseline of 3 since the schema does the heavy lifting, but the description doesn't enhance parameter understanding.

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 action ('Updates') and the target ('general settings for a WordPress site'), making the purpose immediately understandable. It distinguishes itself from siblings like wp_update_category or wp_update_user by specifying 'general settings' rather than specific content types. However, it doesn't explicitly contrast with wp_get_site_settings (the read counterpart), which slightly limits differentiation.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention wp_get_site_settings for reading settings, prerequisites like authentication, or constraints such as which settings can be updated. Without this context, an agent must infer usage from the tool name alone, which is insufficient for optimal selection.

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