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Glama

grokbot_list_agents

Read-only

List all Grok Bot cloud agents to get each agent's ID, name, description, and harness for selection or management.

Instructions

List Grok Bot cloud agents (id, agent_id, name, description, harness).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

The readOnlyHint=true annotation already declares this is a safe, non-mutating read. The description adds the returned field list (id, agent_id, name, description, harness), which is useful output-shape context, but says nothing about pagination, result limits, or filtering behavior.

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?

A single sentence with the verb and resource front-loaded and zero filler. Every token is meaningful and nothing is duplicated from structured fields.

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?

With no parameters and no output schema, the description usefully compensates by naming the returned fields, so an agent knows what comes back without inspecting a response. The only remaining gap is pagination or result-size behavior.

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 takes zero parameters, so there is nothing for the description to clarify beyond the schema. The baseline of 4 applies for a no-parameter tool.

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 uses a specific verb and resource ('List Grok Bot cloud agents') and even enumerates the fields returned, so an agent immediately knows what the tool produces. It does not explicitly differentiate itself from siblings like grokbot_get_agent, though the list/get contrast is strongly implied by naming.

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?

There is no statement of when to use this tool versus grokbot_get_agent or the other agent-management siblings. The reader must infer from the name alone that this is the enumeration variant; no conditions, prerequisites, or alternatives are given.

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