Skip to main content
Glama
ChengZiiii

opera-houdini-mcp

by ChengZiiii

get_cop_layer

Get Copernicus ImageLayer metadata (resolution, storage, bounds). Uses direct layer lookup, with cable reflection fallback when direct lookup fails.

Instructions

读取 Copernicus ImageLayer metadata(add-cops-tools,NO_UNDO)。

先调 ``layer``/``layerAtFrame``;不可得时从 ``cable`` 反射 wire 选择
ImageLayer(响应披露 ``cable_fallback_used``)。只返回 resolution/
storage/bounds,不返回原始像素。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ctxYes
frameNo
node_pathYes
output_indexNo
Behavior4/5

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

With no annotations provided, the description takes on the transparency burden. It discloses the fallback mechanism (layer/layerAtFrame then cable reflection), the cable_fallback_used response flag, and the NO_UNDO characteristic. This is valuable beyond what annotations would offer, though edge cases like complete failure are not covered.

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?

The description is compact, front-loaded with the core purpose, and provides implementation details and return limitations without unnecessary fluff. Each sentence serves a distinct purpose, making it highly efficient.

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

Completeness2/5

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

Given no output schema and sparse annotations, the description should be more thorough about parameter semantics and response structure. It states high-level return types but omits details on how output_index and frame affect results, or what happens on error, leaving significant gaps for correct invocation.

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

Parameters2/5

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

Schema description coverage is 0%, yet the description does not explain any of the four parameters (ctx, node_path, frame, output_index). While node_path and frame can be inferred from context, the lack of explicit parameter definitions leaves the agent to guess at their exact usage and formats.

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?

The description clearly states it reads Copernicus ImageLayer metadata, specifies the exact return fields (resolution/storage/bounds), and explicitly excludes raw pixels. This differentiates it from sibling tools like get_cop_info or get_cop_geometry.

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 description implies usage for metadata retrieval but does not explicitly state when to use this tool versus alternatives like get_cop_info or get_cop_geometry. No exclusions or comparison with siblings are provided, so the guidance is only implicit.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ChengZiiii/opera-houdini-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server