get_score
Look up a domain's cached agent-readiness score without triggering a new scan. Try this before scan_domain.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes | The domain to look up, e.g. stripe.com |
Look up a domain's cached agent-readiness score without triggering a new scan. Try this before scan_domain.
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes | The domain to look up, e.g. stripe.com |
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 discloses that the tool reads a cached score and does not trigger a new scan, which is important behavioral information. However, it doesn't mention what happens if the domain is not cached, or whether it might return stale data.
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 with zero waste. It front-loads the purpose and ends with actionable guidance.
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?
The tool is simple with one parameter and no output schema. The description covers the purpose and usage context. Some might expect details on return value, but given the simplicity, it is adequate, though a note on caching behavior could be added.
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 domain parameter is clearly described with an example. The description adds minimal parameter info beyond the schema, so a baseline of 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 the tool looks up a cached score and does not trigger a new scan, using specific verbs and a clear resource. It distinguishes from scan_domain explicitly.
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?
It explicitly instructs to try this before scan_domain, providing clear precedence and implied alternative usage. This is sufficient guidance for when to use it.
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.
Tools are generally well-distinguished, but discover_products and search_capabilities could be confused since both search across domains. The difference in query type (task intent vs. capability) is somewhat subtle. Overall, most tools have clear, separate purposes.
All tool names use a consistent verb_noun pattern (e.g., discover_products, get_checks, scan_domain). The naming is predictable and matches the server's domain of evaluating agent-ready properties.
With 11 tools, the server covers scanning, scoring, feedback, and search without being overly broad. Each tool has a distinct role, and the count is appropriate for the focused purpose of assessing agent readiness.
The tool set covers the full lifecycle: discover/scan domains, get scores and checks, apply skills, verify with challenges, submit feedback and disputes. There are no obvious missing operations for the stated domain.