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zyndai-mcp-server

by zyndai

List AgentDNS Entities

zyndai_list_agents
Read-onlyIdempotent

Browse all agents and services on AgentDNS with pagination. Filter by category, tags, or query the federation to discover network resources.

Instructions

Browse all agents and services on AgentDNS with pagination.

Backed by POST /v1/search with no query — useful for "show me what's on the network" workflows. For targeted discovery, prefer zyndai_search_agents.

Args:

  • category (string, optional)

  • tags (string[], optional)

  • federated (bool, optional) — query the federation, not just dns01

  • max_results (1-100, default 20)

  • offset (default 0)

Examples:

  • "Browse the network" -> {}

  • "Show finance agents" -> { category: "finance" }

  • "Next page" -> { offset: 20 }

  • "Browse the whole federation" -> { federated: true }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoFilter by tags.
offsetNoSkip N results — pagination.
categoryNoFilter by category.
federatedNoFederated query.
max_resultsNoMax results 1-100 (default 20).
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds that the tool uses a POST endpoint with no query and describes pagination behavior, which provides useful context beyond annotations.

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?

Well-structured with a clear purpose line, technical note, sibling guidance, parameter list with defaults, and practical examples. Every sentence adds value without 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?

Covers all parameters with examples and usage context. However, without an output schema, the description does not detail the structure of the returned list, which is a minor gap given the tool's simplicity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for all parameters. The description enhances meaning with examples, default values, ranges, and clarification like 'query the federation, not just dns01' for federated.

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?

Clearly states 'Browse all agents and services on AgentDNS with pagination', identifying the verb, resource, and context. Distinguishes from sibling zyndai_search_agents by noting it's for browsing vs targeted discovery.

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

Usage Guidelines5/5

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

Explicitly advises 'For targeted discovery, prefer zyndai_search_agents' and provides examples that illustrate appropriate use cases such as 'Browse the network' or 'Show finance agents'.

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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