Full record for one vendor: what it does, dated+confidence-tagged pricing signals, access requirements, and small-practice fit. confidence is one of published/reported/none.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Vendor slug, e.g. 'availity', 'stedi', 'office-ally'. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of behavioral disclosure. It adds specific output details (dated+confidence-tagged pricing signals, confidence enum values) that inform the agent about data structure. It does not mention auth, error behavior, or side effects, but as a get operation the read-only nature is implied; the added confidence enum provides useful scope beyond a generic 'returns record'.
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, information-dense sentence. It front-loads the primary purpose ('Full record for one vendor') and then efficiently enumerates contained data and clarifies the confidence enum. No wasted words.
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 simple one-parameter get tool without an output schema, the description sufficiently covers the return content and the confidence value set. It could mention the source of slugs or error handling for invalid slugs, but these are minor gaps; overall it is complete enough for effective use.
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% (slug is fully described with examples). The tool description adds no extra meaning to the parameter beyond what the schema already provides, so the 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 this tool returns the full record for a single vendor, with specific content areas (what it does, pricing signals, access requirements, fit). It contrasts with sibling tools like list_clearinghouses (plural) and recommend_clearinghouse, making its singular resource focus distinctive.
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 'Full record for one vendor' gives clear context that this is for retrieving detailed information about a single vendor, implying it should be used when you need depth rather than a list. However, it does not explicitly mention alternatives or when not to use it, so it falls short of a 5.
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 serves a distinct purpose: get_clearinghouse retrieves a single vendor's details, list_clearinghouses returns all vendors, recommend_clearinghouse provides ranked recommendations, and vendors_by_function filters vendors by X12 function. Even though list and vendors_by_function both return sets of vendors, their query parameters and outputs are clearly differentiated.
Three tools follow the clear verb_noun pattern (get_clearinghouse, list_clearinghouses, recommend_clearinghouse), while vendors_by_function deviates into a noun_preposition_noun format. Despite this minor inconsistency, all names are descriptive and follow a predictable style.
With only 4 tools, the server is tightly scoped for a directory and recommendation service. Each tool is essential and there is no dead weight or redundant functionality.
The toolset covers the core workflows for a directory: listing all entries, getting detailed information about one, filtering by function, and obtaining a recommendation. There are no obvious gaps for a read-only directory with decision-support capabilities.