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Jamf Docs MCP Server

Lookup Jamf Glossary Term

jamf_docs_glossary_lookup
Read-onlyIdempotent

Look up any Jamf glossary term to get its official definition. Supports fuzzy matching and product-specific filtering for precise results.

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
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
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds behavior details: fuzzy matching, language limitation (English-only despite language parameter), and examples of matches. No contradictions.

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-structured with clear sections: main purpose, Args with bullet points, Returns with JSON schema, Examples, and Errors. Each section is concise and informative, no 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 6 params, output schema, and good annotations, the description covers behavior, error cases, examples, and return format. No missing context for effective tool usage.

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 describes all 6 parameters well, but the description adds value by noting fuzzy matching for term, suggesting using jamf_docs_list_products for product filter, and explaining language limitation. Schema coverage is 100%, so baseline is 3, but description enhances understanding.

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 looks up a term in the Jamf official glossary and returns its definition. This distinguishes it from sibling tools like jamf_docs_search (which searches articles) and jamf_docs_get_article (which retrieves article content).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides good context (fuzzy matching, language limitation) but does not explicitly state when to use this tool versus alternatives. It could mention that for article content, use jamf_docs_get_article, and for broader searches, use jamf_docs_search.

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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