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respond_to_checkin

Accept or reject a pending check-in request. (confirm-gated: previews until confirm: true)

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": {
      "checkInId": "<checkInId>",
      "accept": "<accept>"
    },
    "name": "respond_to_checkin"
  }
}

Input Schema

NameRequiredDescriptionDefault
acceptYes
confirmNoMust be true to actually execute. If false/omitted, returns a preview only.
checkInIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior4/5

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

The parenthetical 'confirm-gated: previews until confirm: true' is a real behavioral disclosure beyond the single readOnlyHint=false annotation: it tells the agent the first call is inert and a second call with confirm:true is required to mutate state. It stops short of saying what accepting or rejecting actually changes downstream, or whether the decision is reversible.

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

Conciseness5/5

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

Two short sentences, action first, gating caveat second, with no filler. Every clause carries information the agent needs.

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 gated mutation tool with no output schema and partial schema documentation, the description covers the action and the confirm gate but omits prerequisites (permissions, what 'pending' means operationally), the effect of each outcome, and expected return shape on the preview call.

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 33%: only `confirm` is documented, and the description merely restates that gate. It adds no meaning for `checkInId` (format, where to obtain it) or for `accept` beyond the obvious true=accept/false=reject reading, so the undocumented half of the parameters is compensated for poorly.

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 pair (accept/reject) applied to a specific resource (a pending check-in request), which is unambiguous. It doesn't explicitly differentiate itself from nearby siblings like get_checkin, list_checkins, or respond_to_invitation, but the resource+action combination is distinct enough to select on.

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 word 'pending' implies this applies only to outstanding requests, and the confirm-gate note hints at a two-step call pattern, but there is no explicit guidance on when to use it over alternatives or what happens to a check-in that is not pending. Usage must be inferred.

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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