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Glama

list_assistants

Fetch configured AI assistants and their settings, optionally including disabled ones. Use it to inspect available assistants for delegation tasks.

Instructions

List configured assistants and their relevant configuration.

Args: include_disabled: Also include disabled assistants (default False).

Returns: JSON: {"ok": true, "assistants": [...]}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
include_disabledNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It discloses the return shape and the include_disabled filter, and 'List' implies read-only behavior, but it omits permissions, pagination, and rate-limit context.

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 and front-loaded, with clear Args and Returns sections. Every line earns its place, and the optional parameter is easy to find.

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 list operation with one optional parameter and an output schema, the description is nearly complete. It covers the filter and return envelope, but lacks any usage context relative to sibling tools.

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?

Schema description coverage is 0%, so the description must compensate for the single parameter. It does so by explaining that include_disabled also includes disabled assistants and defaults to False, which is sufficient for this one optional boolean.

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?

States a specific verb and resource: listing configured assistants and their relevant configuration. It clearly conveys what the tool does, but does not distinguish itself from siblings like find_assistants or list_capabilities.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance on when to use this tool versus alternatives such as find_assistants, get_assistant, or list_capabilities. Usage is only implied by the tool's name and verb.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.