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Get a quest

get_quest
Read-only

Read a quest you created, including answers, the gift, whether the recipient has opened it (openedAt), the thank-you the recipient sent back after opening it (reply: emoji and/or text, voiceUrl and, on Quest+ quests, photoUrl: links valid a day, or null) and whether it has Quest+ (plus).

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": {
      "quest_id": "<quest_id>"
    },
    "name": "get_quest"
  }
}

Input Schema

NameRequiredDescriptionDefault
quest_idYes
edit_tokenNoOnly for quests not created with this owner key (the part after # in an editUrl)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior4/5

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

Annotations only declare readOnlyHint and openWorldHint=false; the description goes well beyond them by spelling out the returned shape - openedAt, reply composed of emoji/text/voiceUrl/photoUrl, the plus flag, and the important caveat that photo links expire after a day or may be null. It does not cover failure modes (missing quest, wrong owner key) but discloses the substantive payload behavior.

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?

Front-loaded with the action before the long payload list, and every clause carries information. However, it is a single run-on sentence with nested parentheses and comma-separated parentheticals, which makes the return-shape detail harder to parse than it needs to 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 usefully carries the return-value burden, including link expiry and nullability. For a two-parameter read tool the main remaining gaps are error behavior and clarity on quest_id versus edit_token, which are modest rather than blocking.

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 coverage is only 50%, with quest_id carrying no description in the schema, and the description never explains it - "a quest you created" is the closest it gets. edit_token's meaning comes entirely from the schema text, not the description, so the description does not compensate for the coverage gap.

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?

States a specific verb and resource ("Read a quest") and enumerates what comes back: answers, gift, openedAt, reply with emoji/text/voiceUrl/photoUrl, and the plus flag. That is far more specific than the title, though it never names a sibling (e.g. list_my_quests) to contrast the single-quest scope, and "a quest you created" sits oddly beside the edit_token note about quests made with a different owner key.

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

Usage Guidelines2/5

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

No when-to-use instruction, no indication of when to prefer this over list_my_quests, and no preconditions such as needing an edit_token. The read-only framing implies retrieval but the agent gets no routing guidance at all.

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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