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OktoLabsAI

okto-nexus

by OktoLabsAI

agent_list

List registered agents with roles, capabilities, and last-seen status; authenticated callers see scoped reachable agents, anonymous callers see all.

Instructions

List registered agents (global), each with role/capabilities and last_seen_at. Authenticated callers see only agents their comm scope can reach (plus themselves); anonymous callers see all.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.10

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses a caller-dependent visibility rule (authenticated callers see only agents within their comm scope plus themselves; anonymous callers see all). It omits pagination/ordering behavior, but the output schema exists to cover the return shape.

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 tight sentences with no filler; the scope ('global') and the visibility rule are front-loaded rather than buried. Every clause carries information the caller needs.

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 parameterless list tool with an output schema and no annotations, the description supplies the one thing structured data cannot: who sees which agents. Only pagination/results-size behavior is left unstated, a minor gap given the schema covers the return shape.

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 no parameters, so there is nothing for the description to disambiguate. Baseline 4 applies for a zero-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?

States a specific verb and resource ('List registered agents'), names the scope ('global'), and previews the returned fields (role/capabilities, last_seen_at). It does not explicitly distinguish itself from agent_get or agent_whoami, but 'List ... (global)' implies enumeration vs single-record retrieval.

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 never says when to reach for this tool versus agent_get, agent_whoami, or agent_register, nor does it state any preconditions for calling it. Usage context is only weakly implied by the word 'List'.

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