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presetup_get

Read-only

Read everything one presetup installs: its skills (full text), workflows, tables, launch methods, the apps it needs and whether they are connected, what it will do, what changes it may make outside Spaces, and its known limits. Pass the id or the slug. Read only.

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": "presetup_get"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYes

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?

Annotations already declare readOnlyHint=true, destructiveHint=false, openWorldHint=false, so the closing 'Read only' adds nothing. It does add some useful framing by signaling the payload includes full skill text, app connection status, and the changes an install may make outside Spaces, but it omits auth requirements, payload size, and behavior on an unknown id.

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?

Opens with the verb and scope, then enumerates returned content in one dense sentence, closing with the input hint and read-only note. Nothing is filler, though the long comma-separated inventory is harder to scan than a short structured list would be.

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 must describe returns, and it does so thoroughly by listing every artifact type returned plus connection status and limits. The remaining gap is guidance on choosing this over the search/list siblings and what a missing or invalid id yields.

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

Parameters4/5

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

Schema coverage is 0% and the single parameter is only named 'id', so the description carries the load: 'Pass the id or the slug' resolves the ambiguity that either an opaque id or a human-readable slug is acceptable, which the schema alone does not convey. It stops short of describing uniqueness or failure behavior for a bad identifier.

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?

Specific verb (Read) and resource (one presetup), followed by an explicit inventory of what is returned: skills, workflows, tables, launch methods, required apps, side effects, limits. A 'get one by identifier' is clearly distinct from the sibling presetup_list/presetup_search/presetup_find, though the description never names those alternatives 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?

Only invocation guidance is given ('Pass the id or the slug'); there is no statement of when to reach for this tool versus presetup_find, presetup_search, or presetup_list, and no note about pre-install inspection being the intended workflow. Usage is implied by the name and content list rather than stated.

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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