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fetch · Orbitx

orbitx__fetch
Read-only

Fetch a document by id from search (menu, help, auth, tool:, or a mint). — Orbitx's MCP server, a live seat on The Wall (hosted by them). Called through their seat; their data comes back as it is. Read-shaped tools only (anything that buys, sells or writes refuses). Listing: https://rokha.ai/registry?skill=orbitx-official-mcp

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesDocument id from search

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • changedInput schema / additionalProperties
      Previous value: -trueNew value: +false
    • addedInput schema / properties
      Added value: +{
      +  "id": {
      +    "description": "Document id from search",
      +    "type": "string"
      +  }
      +}
    • addedInput schema / required
      Added value: +[
      +  "id"
      +]
  2. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds useful context by saying calls are made through Orbitx's seat and that 'their data comes back as it is,' which sets expectations about data provenance and lack of transformation. The 'read-shaped tools only' note reinforces the read-only annotation without contradicting it.

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

Conciseness3/5

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

The core instruction is front-loaded and the read-only note is relevant, but the listing URL and Orbitx server marketing context are not needed for correct invocation. The description is compact enough, yet not every clause earns its place.

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 one-required-parameter read-only fetch with informative annotations, the description is largely complete. It identifies what the tool fetches, where the id comes from, and what kind of data to expect. No output schema exists, so a bit more detail on response structure could help, but 'data comes back as it is' mitigates the gap.

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 100%, so the schema already explains the single 'id' parameter as a 'Document id from search.' The description repeats that idea but does not add materially new meaning, such as id format examples or how to obtain valid ids.

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 states a specific verb and resource: 'Fetch a document by id from search', and the parenthetical enumerates the accepted document categories. This differentiates it from sibling search tools and specialized getters by centering on a generic fetch-by-id operation.

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 intended usage is implied: the tool is used after a search produces a document id, and the listed categories suggest what kinds of ids are valid. However, it does not name alternatives or give explicit when-to-use/when-not-to-use guidance relative to the many sibling get and search tools.

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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