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Jamf Docs MCP Server

Batch Get Jamf Documentation Articles

jamf_docs_batch_get_articles
Read-onlyIdempotent

Fetch up to 10 Jamf documentation articles in one request. Compare articles or gather information from multiple pages efficiently.

Instructions

Retrieve multiple Jamf documentation articles in a single request.

Fetches up to 10 articles in parallel with concurrency control. Useful for comparing articles, gathering information from multiple pages, or bulk research.

Args:

  • urls (string[], required): Array of 1-10 article URLs (must be from docs.jamf.com or learn.jamf.com)

  • concurrency (number, optional): Max parallel requests 1-5 (default: 3)

  • maxTokens (number, optional): Total token budget across all articles 100-50000 (default: 5000). Distributed evenly.

  • outputMode ('full' | 'compact'): Output detail level (default: 'full'). Use 'compact' for brief output.

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

Returns: An array of article results. Each article independently succeeds or fails. For JSON format, returns a BatchResponse object with results, summary, and tokenInfo.

Examples:

Note: Token budget is split evenly across articles. Use higher maxTokens for more articles. Partial failures are reported per-article without failing the entire batch.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlsYesArray of Jamf documentation article URLs (1-10)
languageNoDocumentation language/locale (default: en-US). Options: en-US, ja-JP, zh-TW, de-DE, es-ES, fr-FR, nl-NL, th-TH
maxTokensNoTotal token budget across all articles (100-50000, default: 5000)
outputModeNoOutput detail level: "full" for detailed output or "compact" for brief outputfull
concurrencyNoMaximum parallel requests (1-5, default: 3)
responseFormatNoOutput format: "markdown" for human-readable or "json" for machine-readablemarkdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYes
summaryYes
Behavior5/5

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

Annotations already indicate readOnly, openWorld, idempotent, and non-destructive behavior. The description adds valuable context beyond annotations: parallel execution with concurrency control, independent success/failure per article, partial failure reporting without failing the batch, and token budget distribution. No contradiction with 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 well-structured with Args, Returns, Examples, and Note sections. Every sentence adds useful information: constraints, defaults, behavioral notes, and examples. Despite its length, it is appropriately sized for a tool with six parameters and complex batch behavior, and it is front-loaded with the primary purpose.

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 (batch retrieval, concurrency, token budget, partial failures), the description covers all essential aspects: input constraints, parameter defaults, return format details, example usage, and fallback behavior. The presence of an output schema reduces the need to enumerate return fields, but the description still summarizes the return structure adequately.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Every parameter in the schema has a description, and the tool description elaborates further with semantics such as 'Distributed evenly' for maxTokens, 'Use compact for brief output', and constraints like 'must be from docs.jamf.com or learn.jamf.com' for URLs. The description adds meaning beyond the schema's property descriptions.

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 retrieves multiple Jamf documentation articles in a single request, using a specific verb and resource. It explicitly mentions fetching up to 10 articles in parallel, which distinguishes it from the sibling tool jamf_docs_get_article that likely handles single articles.

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 use cases: 'useful for comparing articles, gathering information from multiple pages, or bulk research.' It does not explicitly mention when not to use it or name alternative tools, but the context is sufficient for an agent to decide. A slightly lower score is given for missing explicit exclusions or alternatives.

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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