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Glama

Get a term

get_term
Read-only

Fetch a taxonomy term by ID to retrieve its description, parent, item count, and registered term meta.

Instructions

Fetch one taxonomy term by ID, including its description, parent, item count and any registered term meta.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe term ID.
site_idNoWhich configured WordPress site to act on. Optional — with a single site configured it is used automatically; with several, the default site is used unless you name one. Run list_sites for valid ids.
taxonomyNoTaxonomy slug or REST base (category, post_tag/tags, or a custom one).category

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changedv2.0.0
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • removedInput schema / additionalProperties
      Removed value: -false
    • addedInput schema / properties / id / maximum
      Added value: +9007199254740991
    • addedInput schema / properties / id / minimum
      Added value: +-9007199254740991
  2. First observedv1.0.0

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds useful context about the included fields in the response, but it does not disclose error behavior, taxonomy defaulting, or other runtime details. This is adequate given the annotations.

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 front-loaded sentence with no wasted words. The core operation ('Fetch one taxonomy term by ID') comes first, followed by the return-field summary.

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?

For a simple read-only tool with complete schema descriptions and safety annotations, the description provides enough context to invoke it correctly. It also summarizes key return fields, partially compensating for the absence of an output schema, though it does not enumerate every conceivable field.

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 id, site_id, and taxonomy. The description adds no parametric detail beyond the schema, so the baseline score of 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 verb ('Fetch'), a specific resource ('one taxonomy term by ID'), and enumerates the returned data (description, parent, item count, term meta). This clearly distinguishes it from sibling tools like list_terms or get_content_terms.

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 clearly implies this tool is for retrieving a single term by ID, which is sufficient context for choosing it over list_terms. However, it does not explicitly name alternatives or state when not to use this tool, so it stops short of full exclusion guidance.

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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