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Photon Health MCP by usefulapi

Get the organization

photonhealth_get_organization
Read-onlyIdempotent

Get the Photon organization these API keys belong to: id, name, type, NPI, address and contact details. Photon GraphQL (clinical API): organization.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds a genuine behavioral fact beyond the annotations: the result is scoped to the organization that owns the API key, and it lists the fields returned (important since no output schema exists).

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

Conciseness4/5

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

One sentence front-loads the action and the returned fields, with a short trailing reference mapping ('Photon GraphQL (clinical API): organization'). Efficient, though the trailing API reference is more for doc-consistency than for the agent's decision.

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?

With no parameters and no output schema, the description carries the return-value burden and does so by naming the fields returned. For a single-object, read-only lookup this is nearly complete; it is only slightly thin on auth/permission expectations.

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 no parameters, so there are no per-parameter semantics to document; per the rubric, zero parameters establishes a baseline of 4. Nothing is misleading or missing in this dimension.

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

Purpose5/5

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

States a specific verb and resource ('Get the Photon organization') and enumerates what is returned (id, name, type, NPI, address, contact details). It is the only organization-scoped tool among the siblings, so an agent can distinguish it without opening a schema.

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?

The phrase 'these API keys belong to' implies the tool is scoped to the caller's own organization, which is useful context, but there is no explicit when-to-use guidance or mention of alternatives (none exist among siblings, so the risk is low). Usage is implied rather than stated.

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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