Validate and normalize a workflow payload without consuming a scoring call via POST /v1/workflows/{workflow}/validate
| Name | Required | Description | Default |
|---|---|---|---|
| payload | Yes | Workflow payload to validate before scoring. | |
| workflow | Yes | Workflow identifier such as healthcare.denial, healthcare.prior_auth, or healthcare.reimbursement. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint and idempotentHint, lowering the burden. The description adds valuable behavioral context: it does not consume a scoring call and it normalizes the payload in addition to validating. It does not describe response format or errors, but the safety profile is covered and the added behavior is meaningful.
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?
One sentence, front-loaded with the action and resource, and no filler. Every part of the description contributes to understanding the tool's purpose and distinguishing it from scoring tools.
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 description clearly states the tool's purpose and endpoint, and annotations cover the read-only/idempotent nature. However, with no output schema, the description should explain return values or expected response shape; it does not. It also omits error behavior, leaving a moderate gap for an otherwise simple tool.
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%, with clear descriptions for both 'workflow' and 'payload', so the baseline is 3. The description does not add parameter-level details beyond the endpoint path, which slightly reinforces how workflow and payload are used but does not meaningfully exceed the schema.
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 ('Validate and normalize') tied to a clear resource ('workflow payload') and explicitly names the endpoint. It distinguishes itself from siblings by adding 'without consuming a scoring call', making it clear this is not score_workflow or score_batch.
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 'without consuming a scoring call' clearly implies this tool is for pre-scoring validation and avoids the side effect of scoring. It lacks explicit 'when not to use' or named alternatives, but the intended context is strong enough to guide tool selection.
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 concern: account limits, usage, workflow schema, workflow list, single scoring, batch scoring, feedback, and payload validation. The only potential overlap (score_workflow vs score_batch) is clearly delineated by batch versus single operation.
All tool names follow a consistent verb_noun pattern with underscore separation (get_*, list_*, score_*, submit_*, validate_*). The naming convention is uniform and predictable.
With 8 tools, the server is well-scoped for a scoring API, covering account management, workflow discovery, scoring, validation, and feedback without unnecessary redundancy.
The tool set provides full lifecycle coverage for the domain: discovering workflows, fetching schemas, validating payloads, scoring (single or batch), checking account limits/usage, and submitting feedback. No obvious gaps exist.