Skip to main content
Glama
GET-Technology-Inc

Jamf Docs MCP Server

Lookup Jamf Glossary Term

jamf_docs_glossary_lookup
Read-onlyIdempotent

Look up Jamf glossary terms in the official docs and get definitions via fuzzy matching, resolving acronyms and technical jargon.

Instructions

Look up a term in the Jamf official glossary and get its definition.

This tool searches glossary pages across Jamf product documentation and returns matching term definitions using fuzzy matching.

Note: Glossary content is currently only available in English (en-US). Non-English language parameters are accepted but results will be in English.

Args:

  • term (string, required): Glossary term to look up (2-100 characters). Supports fuzzy matching.

  • product (string, optional): Filter by product ID (use jamf_docs_list_products to see all)

  • language (string, optional): Documentation language/locale (default: en-US). Note: glossary is English-only.

  • maxTokens (number, optional): Maximum tokens in response 100-50000 (default: 5000)

  • outputMode ('full' | 'compact'): Output detail level (default: 'full')

  • responseFormat ('markdown' | 'json'): Output format (default: 'markdown')

Returns: For JSON format: { "term": string, "totalMatches": number, "entries": [{ "term": string, "definition": string, "product": string, "url": string }], "tokenInfo": { "tokenCount": number, "truncated": boolean, "maxTokens": number } }

For Markdown format: A formatted list of glossary definitions with source links.

Examples:

  • "What is MDM?" → term="MDM"

  • "Configuration Profile in Jamf Pro" → term="Configuration Profile", product="jamf-pro"

  • "What does DEP stand for?" → term="DEP"

Errors:

  • "No matching term found" if no glossary entries match

  • "Invalid product ID" if product parameter is not recognized

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
termYesGlossary term to look up (e.g., "MDM", "Configuration Profile", "Smart Group")
productNoFilter by product: jamf-pro, jamf-school, jamf-connect, jamf-protect, jamf-now, jamf-safe-internet, jamf-insights, jamf-rapididentity, jamf-trust, jamf-routines, self-service-plus, jamf-app-catalog
languageNoDocumentation language/locale (default: en-US). Options: en-US, ja-JP, zh-TW, de-DE, es-ES, fr-FR, nl-NL, th-TH
maxTokensNoMaximum tokens in response (100-50000, default: 5000)
outputModeNoOutput detail level: "full" for detailed output or "compact" for brief outputfull
responseFormatNoOutput format: "markdown" for human-readable or "json" for machine-readablemarkdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
termYes
entriesYes
truncatedYes
totalMatchesYes
Behavior5/5

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

Annotations already declare readOnlyHint and idempotentHint, but the description adds critical behavioral context: fuzzy matching, the English-only limitation for glossary content despite the language parameter, and the effect on results. It also discloses error messages and output structure, going well beyond the annotation baseline.

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 well-organized into clear sections (main purpose, note, Args, Returns, Examples, Errors) and remains readable despite its length. Every sentence contributes meaningful information, and the core purpose is front-loaded with no redundant fluff.

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

Completeness5/5

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

Given the tool's complexity and the presence of a full output schema, the description thoroughly covers selection criteria, invocation parameters, output formats, examples, and potential error messages. It fully equips an agent to select and invoke the tool correctly without needing to infer details.

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 descriptions cover all 6 parameters, but the description enriches them by explaining the English-only caveat for the language parameter, providing illustrative examples for term and product, and detailing the JSON return structure. This adds value beyond the schema's baseline.

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's purpose with a specific verb and resource: 'Look up a term in the Jamf official glossary and get its definition.' It distinguishes itself from sibling tools like jamf_docs_search and jamf_docs_get_article by focusing exclusively on glossary terms and mentioning fuzzy matching.

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 provides clear context for when to use this tool: to look up glossary terms. It includes examples of natural language queries and offers parameters for filtering by product. However, it does not explicitly state when not to use it or directly name alternatives, falling short of the full 'when/when-not' guidance.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/GET-Technology-Inc/jamf-docs-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server