Heartly Deals — Live Flash Sales
Server Details
Optional default country filter (ISO 3166-1 alpha-2). Supported: DE, AT, CH. Leave empty to query all DACH countries. Other ISO codes return zero results — Heartly is DACH-preferred in v1.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 3.9/5 across 3 of 3 tools scored.
Each tool has a distinct and clear purpose: fetching a specific deal by ID, listing all active deals, and searching by category. There is no overlap that would cause confusion for an agent.
All tool names follow a consistent verb_noun pattern using snake_case (get_deal_by_id, list_active_deals, search_deals_by_category). The verbs (get, list, search) are appropriate for each operation and maintain a predictable structure.
With only 3 tools, the server is on the lower end of reasonable scope. While the tools cover essential read operations for a flash sales domain, the small count suggests limited functionality, though it is not overly sparse.
The server lacks write operations (create, update, delete) and any merchant-related functionality, making it incomplete for full lifecycle management. The read-only surface is a notable gap for a deals platform.
Available Tools
3 toolsget_deal_by_idGet deal by idAInspect
Look up a single active deal by its Heartly internal id (UUID).
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Heartly internal deal id (UUID). |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description bears full responsibility. It discloses that the tool retrieves an active deal (read-only) but does not mention error handling (e.g., not found), authentication needs, or rate limits. The description adds 'active' context beyond the schema but lacks deeper behavioral details.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no unnecessary words. It efficiently conveys the tool's purpose and key constraint (active deal).
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple lookup with one parameter and no output schema, the description is fairly complete. It specifies the identifier and the scope ('active'), which covers the core functionality. It could explicitly mention the return format (e.g., full deal object), but this is implied.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, and the schema already describes the parameter as 'Heartly internal deal id (UUID).' The description adds no significant new meaning beyond confirming it is an internal UUID. Per guidelines, with high schema coverage, baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it looks up a single active deal by its Heartly internal UUID. The verb 'look up' and resource 'single active deal' are specific, and the identifier is precisely defined, distinguishing it from siblings like 'list_active_deals' and 'search_deals_by_category'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage when you have a specific UUID for a deal, and the sibling tool names suggest alternatives for listing or searching. However, it does not explicitly state when to use this tool versus alternatives or include any exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_active_dealsList active dealsAInspect
List currently active flash-sale deals from verified Heartly merchants. Returns deals sorted by ending soonest. Filters are optional and combinable.
| Name | Required | Description | Default |
|---|---|---|---|
| country | No | ISO 3166-1 alpha-2 country code. Filters to merchants whose shipping_countries include this code, plus merchants who ship worldwide. | |
| category | No | Top-level product category, e.g. "fashion", "beauty", "electronics". | |
| min_discount_pct | No | Minimum discount percentage. Only return deals at or above this value. | |
| ending_within_hours | No | Only return deals ending within this many hours from now. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. Discloses sorting and filter combinability, but lacks info on response structure, pagination, rate limits, or authentication needs. Insufficient for a list tool with no output schema.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, each serving a distinct purpose: first states core functionality, second adds sorting and filter flexibility. No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, description should explain return fields. It only says 'Returns deals sorted by ending soonest' without specifying fields or structure. Missing pagination, limits, or response format, but adequately addresses param usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with clear descriptions for all 4 parameters. Description adds only that filters are optional and combinable, which is already implied. Baseline score of 3 as description provides minimal extra value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states verb 'list', resource 'active flash-sale deals', scope 'from verified Heartly merchants', and sorting. Distinguishes from sibling tools by focusing on active deals with ending-soonest order.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Mentions filters are optional and combinable, implying flexible usage. However, no explicit guidance on when to use vs. sibling tools like search_deals_by_category, which could also use category filter.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_deals_by_categorySearch deals by categoryAInspect
Search active deals filtered by category. The category argument is required. Other filters (country, min_discount_pct, ending_within_hours) are optional.
| Name | Required | Description | Default |
|---|---|---|---|
| country | No | ISO 3166-1 alpha-2 country code. Filters to merchants whose shipping_countries include this code, plus merchants who ship worldwide. | |
| category | Yes | Top-level product category, e.g. "fashion", "beauty", "electronics". | |
| min_discount_pct | No | Minimum discount percentage. Only return deals at or above this value. | |
| ending_within_hours | No | Only return deals ending within this many hours from now. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided; description is simple and implies a read-only search with no side effects. It does not disclose potential behaviors like pagination, ordering, or limits, but given the straightforward nature, a 3 is appropriate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences with no wasted words. Efficiently communicates purpose and parameter requirements.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema; description does not mention return format or pagination. With 4 parameters and simple functionality, it is adequate but could be more complete by noting response structure.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%; the description adds minimal value beyond stating required vs optional. Baseline 3 is correct as schema already explains each parameter.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Search active deals filtered by category', specifying the verb and resource. It distinguishes from siblings 'get_deal_by_id' and 'list_active_deals' by requiring a category filter.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
States that 'category' is required and other filters are optional, providing clear parameter usage guidance. However, it does not explicitly compare to siblings or specify when to use this tool over 'list_active_deals'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
Discussions
No comments yet. Be the first to start the discussion!
Related MCP Servers
- AlicenseAqualityAmaintenanceGTM signal intelligence suite for AI agents. Six tools: hiring signals, tech stack detection, company-to-LinkedIn resolution, ICP scoring, job board scanning, and a combined signals aggregator. Built for outbound sales workflows.111111MIT

industrylens-mcpofficial
Flicense-qualityCmaintenanceBrowse IndustryLens's published competitive-intelligence reports and head-to-head competitor comparisons from any AI agent — real, source-backed data.
Sociality MCPofficial
Alicense-qualityDmaintenanceSocial media analytics, post insights, and competitor benchmarking for AI agents.6MIT- AlicenseAqualityAmaintenanceDetects hiring intent signals by scanning job boards for specific companies. Returns structured role data for outbound sales targeting.1901MIT