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Say which dates work

answer_date_poll

Answers the trip’s date poll, range by range (ids from get_date_poll), for the user or a guest they look after. Ranges left out keep their answer.

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": {
      "answers": "<answers>",
      "tripId": "<tripId>"
    },
    "name": "answer_date_poll"
  }
}

Input Schema

NameRequiredDescriptionDefault
personNoWhom you answer for, a Person id: you, or a guest you look after; you, if not given
tripIdYesThe trip’s id, from list_trips
answersYesRanges left out keep their answer

Output Schema

NameRequiredDescriptionDefault
pollYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior3/5

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

Annotations declare readOnlyHint=false, destructiveHint=false, openWorldHint=false, so the write-but-non-destructive profile is already covered. The description usefully adds merge semantics (omitted ranges retain prior answers) and that answers can be cast on behalf of another person ('a guest they look after'). It does not address what happens when a range already has an answer (overwrite vs. append) or any permission constraints, leaving a gap for a mutation tool.

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?

Two tightly packed sentences; the scope and the id provenance come first, and the partial-update rule follows. No filler, though the parenthetical about get_date_poll slightly interrupts the main clause.

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?

An output schema exists, so return values need no explanation, and annotations carry the safety profile. For a three-parameter mutation, the description covers who, what, and partiality; only overwrite semantics for already-answered ranges is left implicit.

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 100%, so baseline is 3. The description restates the person semantics already documented in the schema and repeats the 'ranges left out keep their answer' line verbatim from the answers property. It does add the origin of rangeId (from get_date_poll), which the schema omits, but that is the only net-new value.

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?

Names a specific verb ('Answers') and a specific resource ('the trip's date poll'), plus the granularity ('range by range') and the id source ('get_date_poll'). It is distinguishable from the generic answer_poll sibling by the 'date poll' qualifier, though it never explicitly contrasts itself with that sibling.

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 states the prerequisite workflow clearly: range ids come from get_date_poll. It also sets expectations for partial submission ('ranges left out keep their answer'), so an agent knows it does not have to submit a complete ballot. No explicit when-not or alternative-sibling guidance is given.

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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