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Josh-E-S
by Josh-E-S

list_automatic_participants

Read-onlyIdempotent

Retrieve automatic participants for a virtual meeting room or all rooms, with optional alias filter and pagination.

Instructions

List automatic participants, optionally scoped to one VMR.

Args: vmr: VMR id or name to filter by (pass the name directly — resolved internally, no need to list_vmrs first). Omit for all. alias_contains: Case-insensitive substring match on alias. limit: Max results. offset: Pagination offset.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vmrNo
limitNo
offsetNo
alias_containsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare readOnlyHint and destructiveHint, so the safety profile is clear. The description adds minor context about internal VMR resolution, but no other behavioral traits are disclosed.

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 concise with a clear first sentence stating purpose, followed by a structured Args section. Every sentence adds value with no redundancy.

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?

Given the presence of an output schema, return values need not be explained. The description covers filtering and pagination adequately. It could briefly define 'automatic participants' but is otherwise complete for a list tool.

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 0% schema description coverage, the description fully compensates by explaining each parameter: vmr (pass name directly, internal resolution), alias_contains (case-insensitive substring), limit (max results), offset (pagination offset). This adds significant meaning beyond the schema.

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?

The description clearly states the verb 'List' and the resource 'automatic participants', with optional scoping to a VMR. It is specific and stands out among sibling tools, though no explicit differentiation is provided.

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 practical usage guidance, such as passing the VMR name directly without needing to call list_vmrs first, and explains omission for all results. However, it does not discuss when not to use the tool or alternatives.

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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