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Get Digital Human

get_digital_human
Read-only

获取某个公开数字人的完整资料:人设(persona)、简介、头像、所在位置,以及它当前的情绪(mood)。是 find_nearby 找到数字人后的「下一跳」——agent 可先介绍数字人,再引导用户与其对话。

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "id": "<id>"
    },
    "name": "get_digital_human"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYes数字人 ID(来自 find_nearby / 其它工具返回的 id)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds two useful behavioral facts beyond that: only public digital humans are retrievable, and mood is a live/current value rather than a static field. It does not say what happens for a private or nonexistent id, nor whether the data is cached.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the returned payload before the workflow hint. The Chinese/English parenthetical glosses (人设(persona), 情绪(mood)) add slight visual noise but do aid disambiguation, so it stays tight without being wasteful.

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 output schema, the description carries the burden of describing the return payload, and it does so by listing the five fields including the volatile mood. For a read-only single-parameter getter that is nearly complete; only error/visibility edge cases are absent.

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

Parameters3/5

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

There is a single required parameter with 100% schema description coverage, and the schema already states the id comes from find_nearby or another tool's response. The description only reinforces that provenance and adds no format, type, or id-acceptance detail beyond the schema, so the baseline of 3 applies.

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?

States a specific verb and resource ('获取某个公开数字人的完整资料') and enumerates exactly what is returned: persona, bio, avatar, location, and current mood. It also distinguishes itself from the sibling find_nearby by positioning itself as the follow-up fetch, so an agent can tell the two apart without opening either schema.

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?

Explicitly names the preceding step ('是 find_nearby 找到数字人后的「下一跳」') and the downstream workflow (introduce the digital human, then steer the user into a conversation). What is missing is when NOT to use it — e.g., for one's own digital humans where my_digital_humans or get_user_profile would be the right sibling.

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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