Skip to main content
Glama

option_get

option_get
Read-onlyIdempotent

Read a WordPress option by name to inspect stored site settings and configuration values without SSH access.

Instructions

Read a WordPress option by name.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "name": "<name>"
    },
    "name": "option_get"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYesOption name

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is fully covered. The description adds nothing beyond the operation itself—it doesn't say what happens for a missing option (false/null/error) or whether the value is unserialized, which would be useful context even with annotations present.

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 short, front-loaded sentence with zero filler. Nothing is wasted.

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

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read tool with rich annotations and full schema coverage, this is close to adequate. But with no output schema, the description should say what the return value looks like (the raw option value, false when absent), which is the main remaining gap an agent would care about.

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?

The single parameter is fully covered by the schema (100% coverage, 'Option name'), so the description need not explain it. It does not, however, add any hint about naming conventions or prefixes that would help the agent choose a value beyond what the schema states.

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?

States a specific verb (Read) and resource (a WordPress option) plus the lookup key (by name), so the agent knows exactly what it does. However, it offers no differentiation from adjacent siblings like db_query or site_info, which could also surface stored values.

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?

There is no guidance on when to prefer this over db_query for reading option rows, nor on prerequisites (does it need a site context?). The agent is left to infer usage entirely from the one-line purpose.

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