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Answer an invitation

respond_to_invitation
Destructive

Accept or decline a seat somebody offered you. The seat id is on list_campaigns' invitations. Returns: The seat as it now stands.

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": {
      "seat": "<seat>",
      "answer": "<answer>"
    },
    "name": "respond_to_invitation"
  }
}

Input Schema

NameRequiredDescriptionDefault
seatYesThe offered seat's id.
answerYesaccept or decline.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false and destructiveHint=true, so the safety profile is covered structurally; the description adds the useful return statement 'The seat as it now stands' in the absence of an output schema. However it never explains the destructive consequence the annotation implies, i.e. that declining presumably removes or forfeits the offered seat, nor whether the answer can be changed afterward (consistent with idempotentHint=false). That is the missing behavioral context.

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 compact sentences plus a short returns clause, with the action front-loaded and the parameter sourcing immediately after. No filler, no restating of the title or schema types.

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?

For a two-parameter tool with full schema coverage and no output schema, the description covers what it does, where the id comes from, and what comes back — nearly everything an agent needs. The one gap is the irreversible/destructive nature of declining, which is only implied by annotations rather than stated.

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 description coverage is 100% and the `answer` enum is self-documenting, so the baseline is 3. The description earns a 4 by adding provenance the schema lacks: the `seat` value is the id surfaced by `list_campaigns`' invitations, telling the agent where to source the parameter rather than guessing.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific pair of verbs (accept/decline) applied to a specific resource (an offered seat), which distinguishes it cleanly from siblings like add_seat, list_seats, and update_my_seat. An agent can tell it is answering an existing invitation rather than creating or editing a seat.

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?

The phrase 'somebody offered you' establishes the precondition (an outstanding invitation to the caller) and the description says the seat id comes from `list_campaigns`' invitations, giving the agent a concrete prerequisite step. It does not name an alternative tool or state what to do if there is no pending invitation, so it falls short of full when/when-not guidance.

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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