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Get account

get_me
Read-onlyIdempotent

Fetch the account and team behind the API key (apiKeyId, apiKeyNickname, email, displayName, teamId). Use it as a connection test.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesAccount email.
teamIdYesTeam id the API key belongs to.
apiKeyIdYesId of the API key used for this request.
displayNameYesAccount display name, or null.
apiKeyNicknameYesNickname of the API key.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior3/5

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 fully covered. The description's marginal additions are the connection-test hint and the field list, but the field list largely duplicates the existing output schema, and it says nothing about auth failures or error behavior when the key is invalid.

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?

Two tight sentences, front-loaded with the core action and payload, followed immediately by the practical usage note. No filler and nothing buried.

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

Completeness5/5

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

A zero-parameter read tool with full annotation coverage and an output schema needs only a statement of what it returns and why to call it; the description supplies both. An agent has everything required to invoke it correctly.

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 is nothing for the schema to document and no semantic gap for the description to fill. Baseline 4 applies.

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 ('Fetch') and resource ('the account and team behind the API key'), and enumerates the identifying fields returned. It is clearly distinguishable from siblings like get_entity or get_project, which target different resources.

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

Usage Guidelines4/5

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

Explicitly names a use case — 'Use it as a connection test' — which tells the agent when this zero-argument tool is appropriate. It stops short of naming alternatives or exclusions, but the context is clear enough to act on.

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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