get_account
Read the account of the signed-in person: current plan, entitlements and quota. Requires an OAuth 2.1 user access token, not an API key.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Read the account of the signed-in person: current plan, entitlements and quota. Requires an OAuth 2.1 user access token, not an API key.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds valuable context beyond annotations: it specifies the exact data scoped to the signed-in person, the fields returned, and the auth requirement. No behavioral contradictions exist.
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?
Two compact sentences with no filler. The core purpose and returned data appear first, followed by the critical auth caveat. Every sentence adds necessary information.
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 parameterless read-only tool, the description covers purpose, data scope, auth requirement, and expected contents. With read-only annotations already in place and no output schema required, nothing essential is missing.
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 has zero parameters, so the schema is empty and no parameter semantics are needed. The description compensates by explaining what the account read returns, which is sufficient for an agent to call the tool correctly.
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 uses a specific verb ('Read the account'), names the resource ('signed-in person'), and enumerates the returned data ('current plan, entitlements and quota'). This distinguishes it clearly from siblings like get_pricing, get_product_info, and create_account.
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?
It clearly states the authorization requirement ('OAuth 2.1 user access token, not an API key'), which is essential for agent invocation. It implies the tool is for the signed-in user's account rather than general product info, though it does not explicitly name alternative tools or when-not-to-use conditions.
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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