openapi_health_score
OpenAPI completeness and health score. Costs $0.15 Base USDC.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes |
OpenAPI completeness and health score. 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 disclose a notable financial behavior—'Costs $0.15 Base USDC'—which is useful, but it does not describe side effects, authorization requirements, or expected output behavior beyond the name itself.
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 very brief and front-loaded with the core purpose, followed by a useful cost disclosure. No words are wasted, and both sentences add relevant information, though the brevity contributes to significant gaps covered in other dimensions.
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 has no annotations, no output schema, and a free-form input schema, yet the description only mentions the tool's purpose and cost. There is no explanation of the expected input format, the output shape, or any usage constraints, making this definition inadequate for an agent to invoke the tool correctly.
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 input schema is an empty object with additionalProperties allowed. The description provides no detail about what the 'input' parameter should contain—whether it is an OpenAPI document, a URL, a JSON string, or a file path—leaving the agent unable to construct a valid invocation.
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 identifies the tool as producing an OpenAPI completeness and health score, which conveys the core function and distinguishes it in a general way from sibling tools like openapi_difference_report. However, it lacks an explicit verb such as 'computes' or 'generates,' and it does not directly contrast with 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?
No guidance is provided about when to choose this tool over alternatives like openapi_difference_report, json_schema_validator, or website_health. The description only states what the tool does and its cost, leaving the agent to infer appropriate usage conditions.
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.