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Umfrage mit Fragen

get_survey
Read-only

Eine Umfrage mit allen Fragen (inkl. ids) – vor dem Bearbeiten mit save_survey abrufen.

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": "get_survey"
  }
}

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?

readOnlyHint=true and openWorldHint=false already establish the safety profile, so the description does not need to re-state that this is a read. It does add useful context beyond the annotations: the payload includes question ids, and this is the prerequisite step for save_survey. It does not cover behavior for an invalid or missing 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?

One sentence, front-loaded with what is returned, followed by the actionable prerequisite. Nothing is wasted. A slightly clearer ordering (purpose, then the save_survey dependency) would be marginal improvement.

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?

For a single-parameter read with no output schema, the description gives the essentials: content of the response and the downstream workflow. It does not mention error behavior or whether the response can be large for surveys with many questions, which an agent planning a save loop would benefit from.

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% with a single required parameter `id`, so the description must carry the meaning. It implies the id identifies the survey being fetched, but never says so explicitly, nor whether it is the survey id versus a question id. Adequate but leaves a small ambiguity.

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 resource (a survey) and states its scope precisely: the survey along with all its questions, including their ids. This distinguishes it from list_surveys (which lists surveys) and hints at the difference from get_survey_results (results vs. structure), though that sibling is not named.

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

Usage Guidelines4/5

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

It gives an explicit workflow rule: call this before editing with save_survey. That tells the agent exactly when this retrieval is required and which mutation tool consumes its output. What is missing is any guidance on when to use get_survey_results or list_surveys instead.

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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