get_promotion_allocation_offer
Get KillionApps' experimental $5 ecommerce promotion-capital allocation offer, free validation route, paid MPP route, and discovery URLs.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get KillionApps' experimental $5 ecommerce promotion-capital allocation offer, free validation route, paid MPP route, and discovery URLs.
| 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 bears full responsibility for behavioral disclosure. It mentions 'experimental' and distinguishes 'free validation route' from 'paid MPP route', suggesting the tool surfaces options, but it does not state whether the tool is read-only, what side effects exist, what authentication is required, or what the response contains.
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 and reasonably concise. It front-loads the main object ('offer') but then appends a list of related items that might be better structured. Still, every word adds some substance and there is no fluff.
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 0-parameter getter with no output schema, the description needs to convey what the agent will receive. It lists the components (offer, validation route, paid MPP route, discovery URLs), but terms like 'MPP' and 'discovery URLs' are unexplained, and there is no indication of the response format or whether this is a list or single object. This is adequate but leaves gaps.
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?
The tool has zero parameters and schema coverage is 100%, so the description is not required to explain parameter meaning. With no params, the baseline is 4, and the description does not attempt to add irrelevant parameter info, which 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 uses a specific verb ('Get') and a specific resource ('KillionApps' experimental $5 ecommerce promotion-capital allocation offer'), which clearly distinguishes it from siblings like purchase, validate, or schema. However, it loads multiple concepts (free validation route, paid MPP route, discovery URLs) into one sentence, slightly diluting focus.
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?
There is no explicit guidance on when to use this tool versus the sibling tools (e.g., 'use this to retrieve the offer before purchasing or validating'). The description does not mention alternatives or exclusions, leaving the agent to infer usage from the tool name alone.
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: offer details, schema, validation, and purchase. No overlap or ambiguity between the four tools.
All tools follow a consistent verb_promotion_allocation_<suffix> pattern (get, get, purchase, validate). Naming is uniform and predictable.
Four tools is well-scoped for this specialized promotion allocation workflow. Each tool covers a necessary step without redundancy.
The core lifecycle is covered: discover offer, understand schema, validate request, and initiate purchase. A minor gap is the lack of a post-payment status check, but it is not essential for the stated purpose.