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Parabol MCP by usefulapi

Get current user (viewer)

get_viewer
Read-only

Fetch the authenticated Parabol user (the token owner): id, preferredName, email, tier, and the team ids (tms) they belong to. Parabol GraphQL: query { viewer { ... } }. Requires the USERS_READ scope. Start here to discover your identity and team ids.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so safety is covered; the description adds real value beyond that by disclosing the required USERS_READ scope and naming the returned fields. It does not mention rate limits or auth failure behavior, but for a simple read that is minor.

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?

Front-loaded with the purpose in the first clause, and the return fields plus scope come next. The inline 'Parabol GraphQL: query { viewer { ... } }' snippet is mildly redundant given the sibling parabol_query tool, but it clarifies the backing operation rather than wasting space.

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?

No output schema exists, and the description compensates by enumerating the returned fields (id, preferredName, email, tier, tms). For a zero-parameter read tool this is nearly complete; only the exact shape of 'tms' (team id array vs objects) is left unstated.

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 zero parameters, so per the rubric the baseline is 4. The description correctly implies no input is needed (it queries the token owner), and the schema has nothing to document.

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 ('Fetch the authenticated Parabol user (the token owner)') and pins the scope with 'the token owner,' which cleanly separates it from sibling tools like list_organization_users or get_team. An agent can identify it without opening the schema.

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?

Gives explicit when-to-use guidance: 'Start here to discover your identity and team ids.' That is a clear routing signal, but it names no alternatives or exclusions (e.g., when to prefer list_team_members for members other than yourself), so it stops short of the 5 bar.

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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