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vitalli_list_organizations

Read-onlyIdempotent

List the signed-in user's care-network organizations (practices, hospitals, labs, pharmacies, gyms, insurers, …).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "vitalli_list_organizations"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds meaningful context beyond them: the results are scoped to the signed-in user's own care network (not a global directory), and it enumerates the kinds of organizations returned, giving a rough sense of the response shape. It stops short of describing ordering, empty results, or pagination behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence with the scope constraint front-loaded and zero filler. The parenthetical examples are compact and earn their place by clarifying what counts as an organization.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter, read-only list tool with complete annotations, the description is largely sufficient: it establishes scope and content. A minor gap remains around whether these are organizations the user created as contacts versus ones discovered through a connected network, which would affect how an agent interprets the result.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline of 4 for a parameterless tool applies. The description correctly implies no filtering arguments are accepted.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (List) and resource (care-network organizations) with the scope narrowed to the signed-in user's own organizations. The parenthetical enumeration of entity types (practices, hospitals, labs, pharmacies, gyms, insurers) makes the resource concrete, and the plural 'list' distinguishes it from the sibling vitalli_get_organization, though that contrast is never made explicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the 'list'-style verb and by the signed-in-user scoping, but the description never says when to use this versus vitalli_get_organization, vitalli_list_contacts, or vitalli_connection_status, nor does it state prerequisites (e.g., that a Vitalli connection must exist).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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