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whoami

Read-onlyIdempotent

Reports the current API key: the authenticated user ("userEmail"/"userName", the latter null if never set), the project/team on a project-scoped key, and the account's plan in "subscription" ({plan, period, active, created, termEnd, isFreeTrial, daysLeft} - on a free trial "termEnd" is when the trial ends and "daysLeft" what is left of it, null on a paid plan). The plan is informational: every tool here works on every plan, free trial included, and no call is refused for it. Mind which id is which: the response's own "id" is the API KEY row, the user id (what the stats tools want as "entityId" for namespace "user") is "user", and "team" is the project id on a project key. A Riddle's own "plan" in riddle_get is a different thing - the plan level the features used in THAT Riddle need, not the account's.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, and the description aligns with these while adding substantial behavioral detail: userName may be null, termEnd semantics differ by trial status, the plan does not affect tool availability, and the response id/user/team fields map to different concepts. This is exactly the kind of context that prevents misinterpretation.

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?

The description is dense but every sentence earns its place: first sentence defines the resource, second sentence defines the subscription object with edge cases, third sentence clarifies id mappings for downstream tools, and fourth sentence disambiguates the plan concept from riddle_get. The most important info is front-loaded.

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?

With no output schema and no parameters, the description carries the full burden of explaining the return payload and behavioral nuances. It covers identities, null cases, plan semantics, id disambiguation, differences from a similar field in riddle_get, and the fact that all plans work with all tools. Nothing material is missing for an agent to call this tool 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 has zero parameters and an empty input schema, so there is nothing for the description to clarify. Per baseline for 0-parameter tools, a 4 is appropriate; the description instead focuses on return-value semantics, which is the meaningful dimension here.

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?

Description states a specific verb ('Reports') tied to a clear resource ('the current API key') and enumerates exactly what is reported: user, project/team scope, and subscription. This unambiguously distinguishes whoami from sibling tools like ping, project_get, and stats_fetch.

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?

The description gives clear context for when to use the tool—to inspect the authenticated identity, key scope, and account plan. It also provides important 'do not' guidance: the plan is informational and should not be used to gate behavior, and the Riddle plan field in riddle_get is explicitly distinguished. It stops short of naming alternative tools or stating an explicit when-not-to-use condition, so it does not earn a 5.

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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TDQS

A4.4/5.0
Disambiguation5/5

Each tool is scoped to a distinct resource/action area: media, palettes, projects, question banks, Riddles, templates, tags, stats, and support. Potentially close pairs like riddle_tag/riddle_tag_delete and question_bank_delete/question_bank_manage are cleanly separated by their descriptions, so an agent can reliably select the right one.

Naming Consistency4/5

The naming is mostly consistent snake_case with strong resource prefixes like riddle_, question_bank_, and template_, followed by clear verbs. Minor deviations such as question_bank_item, riddle_tag, and stats_fetch break the strict verb-noun pattern but remain predictable once the convention is understood.

Tool Count3/5

At 38 tools this is a heavy surface, though the breadth is justified by the many subdomains the server covers: media, palettes, projects, question banks, Riddles, templates, tags, and stats. Most tools earn their place, but the count sits above the range where an agent can quickly survey all options.

Completeness4/5

The set covers the full lifecycle for Riddles, question banks, templates, and tags, including publish/unpublish, move, stats, and media upload/delete. Minor gaps like no media library listing and read-only project settings are workable because media IDs come from upload responses and project permissions are exposed.

Resources