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Glama

drive_invite

Invite a human to your organization by email. They will receive a verification code to join.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
roleNoRole in the organization (default: member)member
emailYesEmail address of the human to invite to your organization

TDQS

A3.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses that the invitee receives a verification code, but omits required permissions, whether the invite is revocable, or any side effects. For a mutating operation, this is insufficient.

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, front-loaded with the core action, no filler words. Every sentence provides value: the first states the action and target, the second explains the follow-up.

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 simple invite tool with 2 params and no output schema, the description covers the purpose, target, and post-invite behavior (verification code). It lacks details like expiration or invite for existing users, but is largely 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?

The input schema has 100% description coverage for both parameters, so the description adds no additional meaning beyond the schema. Baseline 3 is appropriate; no further elaboration on role implications or email format.

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 clearly states the verb 'invite' and the resource 'human to your organization by email', distinguishing it from sibling tools focused on files or activities. The mention of a verification code adds specificity.

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 description implies use for inviting members to the organization but provides no explicit guidance on when to use vs alternatives, nor any prerequisites or exclusions. With siblings like drive_roles and drive_org, more context would help.

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

A3.6/5.0
Disambiguation4/5

Most tools have clear distinct purposes, but drive_context, drive_recall, and drive_search have overlapping retrieval semantics that could confuse an agent. drive_activity and drive_log_run also have potential ambiguity.

Naming Consistency5/5

All tools follow a consistent 'drive_verb_noun' pattern with clear verbs (e.g., drive_list, drive_write, drive_delete). No mixing of conventions.

Tool Count4/5

20 tools is a reasonable number for a comprehensive workspace management server, covering file operations, collaboration, sandbox, and context retrieval. Not excessive, but slightly above the ideal 3-15 range.

Completeness4/5

The tool surface covers core CRUD for files, comments, sharing, search, roles, and sandbox features. Missing some minor operations like updating comments or renaming files, but no critical gaps for typical workflows.