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EneUI Catalogue

get_component

Read one component by library + name: description, license, page URL and the install command.

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": {
      "library": "<library>",
      "name": "<name>"
    },
    "name": "get_component"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYes
libraryYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It does disclose the payload returned (description, license, page URL, install command), which is real behavioral value, but it says nothing about not-found behavior, whether the lookup is exact-match or fuzzy, or any auth/rate constraints.

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?

One sentence with the resource, key, and return fields in that order — zero filler and fully front-loaded.

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 simple two-parameter read with no output schema, disclosing the returned fields largely covers what the agent needs. The remaining gap is failure behavior (not found, ambiguous name), which a caller resolving components would want to know.

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 description coverage is 0%, so the description must compensate for two bare string parameters. It does establish that the two parameters form a composite lookup key (library + name) rather than independent filters, but adds no format, casing, or matching-rule detail.

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?

The description names a specific verb ('Read') and a bounded resource ('one component'), plus the lookup key ('library + name') and the fields returned. This implicitly contrasts with the search/list siblings by emphasizing a single-item retrieval, though no sibling is named explicitly.

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?

'by library + name' implies the tool is for direct lookup when both identifiers are already known, which is useful implied guidance. However, it never states what to do when the identifier is unknown (e.g. use search_components to discover it) and gives no exclusions or preconditions.

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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