website_health
Website health report from a supplied HTTPS probe. Costs $0.15 Base USDC.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes |
Website health report from a supplied HTTPS probe. Costs $0.15 Base USDC.
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the full burden of behavioral disclosure. It does add valuable operational context by mentioning the $0.15 cost and HTTPS probe input, but it does not describe output contents, health metrics, failure modes, auth needs, or side effects. This is insufficient for an unannotated paid tool.
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 with no unnecessary words, and the cost is stated efficiently. It is front-loaded with the core purpose and adds a key practical detail, though the brevity also leaves out important operational specifics.
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 annotations, no output schema, a nested free-form input object, and many sibling audit/health tools, this description is materially incomplete. It does not define what 'website health' includes, what the report contains, or how to structure the input. It reads as a one-line summary rather than a callable specification.
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 0%, and the required 'input' object is free-form with no property definitions. The phrase 'from a supplied HTTPs probe' hints that the caller should supply a probe/url, but it does not specify what keys or format belong inside the input object. An agent would have to guess the expected input structure.
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 identifies a website health report produced from a supplied HTTPS probe, which goes beyond merely restating the tool name. However, 'health' is undefined, and there is no comparison with sibling report/audit tools like broken_link_report, tls_header_report, or openapi_health_score, so an agent cannot tell what specific health dimensions are covered.
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 guidance on when to use this tool instead of its siblings. The description does not state prerequisites, exclusions, or alternative conditions. The cost note is operationally useful but does not help an agent decide between website_health and similar audit or report tools.
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.
Most tools are distinguishable by their input source (HTTPS probe, JSON snapshots, OpenAPI, ABI, CSV, etc.), but several report-style tools overlap in purpose, such as changelog_generator vs. release_dependency_risk and csv_profile vs. data_quality_profile. Descriptions help, but an agent could easily hesitate between similarly named change/health/report tools.
All names are lowercase snake_case and generally follow a <domain>_<artifact> pattern, which is predictable and readable. The suffixes vary considerably -- report, summary, digest, audit, health, profile, generator, validator, risk, radar -- so it is not a strict verb_noun convention, but the style is consistent enough.
25 tools is at the upper edge of the borderline-heavy range. The suite spans web, data, repository, security, and wallet domains, so each tool has a plausible place, but the sheer number makes navigation heavier than a typical cohesive toolset.
The suite provides broad coverage for reporting, validation, and change detection, but there are notable gaps such as generic raw data fetching, a generic diff utility, and obvious transforms beyond CSV-to-JSON. For a broadly scoped utility suite, coverage is partial but not severely incomplete.