Transparently rank vendors for a practice. Returns scored shortlist with the reasoning for each. Inputs: functions needed, dev-integration flag, budget-sensitive flag.
| Name | Required | Description | Default |
|---|---|---|---|
| functions | No | ||
| devIntegration | No | ||
| budgetSensitive | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It discloses that ranking is 'transparent' and that it returns reasoning for each vendor, which adds behavioral context. However, it does not mention side effects, data sources, or any potential safety considerations, leaving room for more transparency.
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, front-loaded with the core purpose and followed by input semantics. Every sentence earns its place with no fluff or redundancy.
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 tool with three optional parameters and no output schema, the description covers purpose, output, and input meanings. It is complete enough for an agent to select and invoke the tool correctly, though it could detail scoring methodology or edge cases if those were important.
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?
The input schema has 0% description coverage, but the description explicitly explains the meaning of all three parameters: 'functions needed', 'dev-integration flag', and 'budget-sensitive flag'. This adds semantic value beyond the raw schema and helps the agent map inputs to intent.
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 ranks vendors for a practice, using a specific verb ('rank') and resource ('vendors'). It distinguishes itself from sibling tools like get_clearinghouse, list_clearinghouses, and vendors_by_function by emphasizing scored shortlist and reasoning output.
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 context is clear: use this tool when you need a ranked, scored shortlist of vendors with reasoning. It does not explicitly mention alternatives, but the purpose and output description sufficiently imply when this tool is appropriate, and nothing suggests exclusions.
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.