Get Active Promotions
get_active_promotionsGet currently active promotions, limited-time offers, and special earning opportunities in the NCTR program.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_active_promotionsGet currently active promotions, limited-time offers, and special earning opportunities in the NCTR program.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It implies a read-only operation via 'Get' and indicates a time-filtered behavior ('currently active'), but it does not disclose return format, pagination, or any potential side effects. This is a minimal viable disclosure for a simple zero-param getter.
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 sentence, front-loaded with the key action, and contains no wasted words. It is optimally concise for the tool's simplicity.
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 zero-param read-only list tool with no output schema, the description is sufficiently complete. It states what is retrieved and the program context (NCTR). It would benefit from mentioning return structure, but this is not critical for a straightforward getter.
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?
With zero parameters, the baseline is 4. The description does not need to explain parameters, and the schema confirms no properties. No additional parameter context is required.
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 uses a specific verb ('Get') and clearly identifies the resource ('currently active promotions, limited-time offers, and special earning opportunities'). It distinguishes itself from siblings like get_earning_rates and search_bounties, which focus on ongoing rates and specific bounties.
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 provides clear context for when to use the tool: when you need currently active promotions or special offers. However, it does not explicitly state when not to use it or mention alternative tools, so it falls short of a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct aspect of the NCTR ecosystem: tier requirements, promotions, earning rates, funding, communities, onboarding, and bounties. The only potential overlap is between tier requirements and earning rates, but descriptions clearly separate requirements from multipliers. No ambiguity exists in selecting the appropriate tool for a task.
All tool names follow a consistent verb_noun pattern, with six using 'get_' and two using 'check_' and 'search_' respectively, all adhering to a verb-first convention. The naming is uniform and predictable across the entire set.
With 7 tools, the server is well-scoped for covering the NCTR program's informational and onboarding capabilities. Each tool serves a unique purpose without redundancy, and the count falls comfortably within the ideal 3-15 range.
The server covers major informational needs: tier progression, earning rates, bounties, promotions, funding, and impact engines. It lacks a direct 'get my status' or 'get my referral code' tool, but for a public-facing informational server, these are minor gaps that agents can work around.