Skip to main content
Glama

spine_describe

解析 Spine 骨骼并返回摘要(版本/骨骼数/动画列表等,免费)。

atlas/skel 为 base64 文本,pages 为 [{"name": "...", "png": ""}]。

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

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

Input Schema

NameRequiredDescriptionDefault
skelNo
atlasNo
pagesNo
tokenNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full behavioral burden. It does disclose cost (free) and the shape of the returned summary, which are genuine behavioral facts, but says nothing about the token parameter (auth requirement?), what happens with malformed or missing base64 input, or error behavior. That is a significant gap for an unannotated tool.

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 short lines with the purpose front-loaded followed by the input encoding note; no filler. The second line is somewhat fragmentary ('pages 为 [{"name": ..., "png": ...}]'), but it is dense rather than wasteful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need no explanation, and the free-cost framing plus base64 encoding note cover the core call path. Missing are the meaning of the token parameter and the required/optional semantics of skel and atlas, which an agent needs before a first successful call.

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?

Schema coverage is 0%, so the description must compensate, and it partially does: 'atlas/skel 为 base64 文本' and the pages array element shape ({name, png}) are explained where the schema shows only bare typed properties. However, the token parameter is never mentioned, and it is unclear whether skel or atlas may be empty given both default to empty strings.

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 ('解析 Spine 骨骼并返回摘要') and enumerates the summary contents (版本/骨骼数/动画列表), which distinguishes it from the spine_render_* siblings that render images. It stops short of naming those siblings explicitly, so differentiation is implicit.

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

Usage Guidelines3/5

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

The word '免费' signals this is the no-cost inspection step, implicitly a precursor to paid rendering, but the description never says 'use this before spine_render_frame/spine_render_animate' or when not to use it. Usage must be inferred from the cost hint and the output list.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.