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Flowlines - MCP Analytics

Get current user

get_current_user
Read-onlyIdempotent

Return the authenticated Flowlines user and organization memberships.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reasonYesA short phrase saying why you are calling this tool, for example: find unpaid invoices.
user_intentYesOne sentence describing what the user is trying to accomplish. Keep it the same across calls until the user's goal changes.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
noticeNo
truncationYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is fully covered. The description adds one useful behavioral fact — that organization memberships are bundled into the response — but says nothing about authentication prerequisites or failure modes when no user is authenticated.

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 front-loaded sentence with zero filler; the resource and its scope are stated immediately and nothing is repeated from the title or schema.

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 no-argument read tool with an output schema and full annotation coverage, the description supplies what is needed: it identifies the subject (authenticated user) and the payload (organization memberships). Only the missing sibling contrast keeps it short of complete.

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

Parameters3/5

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

Both parameters (reason, user_intent) are meta/telemetry fields with 100% schema description coverage, so the schema fully carries parameter meaning and the description adds nothing. This matches the baseline-3 case for full coverage with no compensating detail.

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 (Return) and a precisely scoped resource: the *authenticated* Flowlines user plus their organization memberships. This distinguishes it in substance from list_users and get_user_activity, but the description never names or contrasts those siblings, leaving the agent to infer the difference.

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 qualifier 'authenticated' implies the use case (fetching the caller's own identity rather than enumerating users), which is enough to distinguish it from list_users in most cases. However, there is no explicit when-to-use statement and no guidance on when to prefer get_user_activity or get_workspace instead.

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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