Get organization
healthie_get_organizationFetch the current organization / practice (name, NPI, contact, user counts). Read-only. GraphQL: query organization.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
healthie_get_organizationFetch the current organization / practice (name, NPI, contact, user counts). Read-only. GraphQL: query organization.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Input schema / $schemaPrevious value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotation already declares readOnlyHint=true, so the description's 'Read-only' is largely a restatement. It does add modest value by disclosing the returned field set and mapping to the underlying 'query organization' GraphQL operation, but says nothing about permissions, whether it errors/null-returns when no org exists, or scoping.
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?
Three compact fragments with the core verb+resource front-loaded and no filler. The trailing 'GraphQL: query organization' is borderline implementation trivia that an agent doesn't need, keeping this just short of ideal.
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?
With no input schema fields, no output schema, and only a readOnly annotation, the description usefully compensates by listing the returned fields. It is nearly complete for a simple getter, though it omits edge-case behavior such as what is returned when no organization is configured.
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 tool takes zero parameters, so the baseline is 4 and there is no parameter syntax or meaning for the description to clarify. Nothing here misleads about inputs.
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?
States a concrete verb ('Fetch') and resource ('current organization / practice') and enumerates the returned fields (name, NPI, contact, user counts). No sibling tool name overlaps with 'organization', so an agent can immediately separate it from healthie_get_user and healthie_current_user.
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 description explains what the tool returns but never says when to reach for it versus alternatives such as healthie_current_user or healthie_get_user. For a zero-argument tool the usage is somewhat inferable, but the definition itself offers no routing guidance or exclusions.
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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