Skip to main content
Glama
rustem-shiriiazdanov

atlassian-marketplace-mcp

free_starter_tier_export

Read-onlyIdempotent

Export Cloud free-starter-tier entitlements (free users) as a snapshot from a single date. Returns JSON or CSV with fields like licenseId, addonName, and productId.

Instructions

Export Cloud free-starter-tier entitlements (free users on your apps) as of a single date. Returns JSON array of {day, licenseId, appEntitlementId, entitlementNumber, parentEdition, dateOfEvaluation, parentUnitCount, technicalEmail, vendorId, addonName, addonKey, productId} by default; pass accept=csv for CSV. QUIRKS (Atlassian-side, verified 2026-06-03): (1) takes a SINGLE date snapshot — NOT a startDate/endDate range (ranges are silently ignored, yielding a future-dated default). (2) The CSV format OMITS the productId column that JSON includes (11 cols vs 12 keys). (3) A valid-shaped but non-existent productId returns HTTP 500 (not an empty result).

📖 Spec (GET /rest/3/reporting/developer-space/{developerId}/sales/freeStarterTier/export): https://developer.atlassian.com/platform/marketplace/rest/v4/api-group-reporting/#api-rest-3-reporting-developer-space-developerid-sales-freestartertier-export-get

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoISO date YYYY-MM-DD — the snapshot date. Omit for the API default (a future-dated default, so usually you want to set this).
acceptNoOutput format: `json` (default — array of entitlement rows) or `csv`. Invalid → HTTP 400.
productIdNoProduct UUID — narrows the export to one app (verified: 263→50 rows, all matching).
includeAtlassianLicensesNoInclude internal Atlassian free-starter licenses in the export.
Behavior5/5

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

Annotations already indicate read-only, idempotent, non-destructive. Description adds critical quirks: date range silently ignored, CSV missing column, non-existent productId returns 500. No contradiction.

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?

Concise yet thorough: single sentence for purpose, then structured quirks and spec link. No wasted words; every sentence adds needed context.

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?

No output schema, but description lists JSON keys and covers quirks comprehensively. Spec link provided. Given complexity of export endpoint, description leaves no critical gaps.

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 covers 100% of parameters with descriptions. Description adds value by clarifying date behavior (future-dated default), productId usage (narrows export), and accept default. Verified examples further aid 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 'Export Cloud free-starter-tier entitlements' with a specific verb and resource. It differentiates itself from siblings like licenses_export_* by focusing on free-starter-tier and single-date snapshot.

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?

Provides explicit guidance on parameter usage (e.g., date is a single snapshot, not range) and warns about quirks (CSV omission, HTTP 500). Could be clearer when to choose this vs other export tools, but the context is strong.

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/rustem-shiriiazdanov/atlassian-marketplace-mcp'

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