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Glama

whoami

Read-onlyIdempotent

Identify the account, user, and credential behind this connection, with plan, credit balance, rate limits, and the tools available. Call it first to verify the setup.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
planYes
userNo
toolsYes
limitsNoBounds the delegation tools enforce.
objectYes
accountYesThe account every tool call is scoped to.
creditsYes
credentialYesHow this connection authenticated.
rate_limitNoThe API rate limit this credential is subject to.

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare the operation read-only, idempotent, and non-destructive. The description adds valuable behavioral context by enumerating what the call returns: account identity, plan, credit balance, rate limits, and available tools—information beyond what the empty schema conveys.

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 sentences with no filler: the first front-loads purpose and returned data, the second gives a clear usage directive. Every word earns its place.

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?

For a no-parameter tool with rich annotations (readOnly, idempotent, openWorld) and an output schema, the description fully covers what an agent needs to select and invoke the tool correctly. No important gaps remain.

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?

With zero parameters and 100% schema description coverage, the baseline is 4. The description appropriately focuses on the output and invocation context rather than parameters, and no parameter documentation is needed.

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?

The description uses a specific verb ('Identify') and specifies the resources: account, user, and credential behind the connection, plus plan, credit balance, rate limits, and available tools. This clearly distinguishes it from sibling tools that manage chats, runs, and messages.

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 provides explicit contextual guidance: 'Call it first to verify the setup.' It does not name alternatives or exclusions, but as an identity/verification tool, it has no direct sibling, making the instruction sufficient.

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

A4/5.0
Disambiguation4/5

The direct API tools (api_search/api_execute) are clearly distinct from the agent workflow tools. The main ambiguity is between ask_crevio and start_chat, since both initiate agent runs, though one waits and the other does not.

Naming Consistency4/5

Most tools follow a clear verb_noun pattern (list_runs, get_run, send_message, cancel_run). The api_ prefix on api_execute/api_search and the lowercase whoami are minor deviations from an otherwise consistent convention.

Tool Count5/5

14 tools is well-sized for a server that combines direct REST API access with an agent run/chat lifecycle. Each tool has a distinct role and none feel redundant or unnecessary.

Completeness5/5

The REST surface is fully covered through api_search and api_execute, and the agent lifecycle is complete: start, continue, ask, wait, list, approve, cancel, and inspect runs/chats/messages. No critical operation appears to be missing.

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