prepare_activationCreate a dry-run registration checklist and template for owner review. This tool never sends a registration request, accepts terms, submits owner identity or creates a credential.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Because no annotations are provided, the description carries the full behavioral burden. It clearly discloses that the tool performs no registration request, no terms acceptance, no identity submission, and no credential creation, which is valuable safety-relevant context for an agent deciding whether this side-effect-free preparation tool 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?
The description is two sentences: the first states the action and purpose, the second lists behavioral exclusions. Every sentence earns its place, and the positive purpose is front-loaded.
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-parameter, zero-annotation tool, the description covers the core intent and safety boundaries well. However, there is no output schema, and the description does not specify the format or contents of the resulting checklist/template, leaving a small gap about what the agent should expect in the return value.
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 no parameters, and the schema description coverage is 100%, so there is no parameter information missing. The description correctly focuses on behavior instead of params, and this is the appropriate baseline for a zero-parameter tool.
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 states a clear verb-resource pair: 'Create a dry-run registration checklist and template for owner review.' It also distinguishes itself from an actual activation flow by explicitly stating what it never does, making it easy to tell apart from potential sibling tools.
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 phrase 'for owner review' and 'dry-run' imply this should be used in a planning/preparation stage, but there is no explicit guidance about when to choose this tool over alternatives or when not to use it. Usage context is implied rather than directly stated.
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 specific stage: evaluating current state, reading a public dataset, and preparing an activation checklist. There is little or no overlap in their actions or intents.
All tool names follow a clear verb_Noun pattern: evaluate_opportunity, get_public_resource, prepare_activation. Naming style and ordering are consistent across the set.
Three tools is concise but well-scoped for the limited workflow of evaluating and preparing for activation. Each tool fills a distinct role without redundancy.
The set covers the core read-only workflow: assess current standing, examine public data, and prepare an activation checklist. It lacks any tool for actual activation, final submission, or revenue tracking, though those may be intentionally out of scope.