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Confirm a pending change

confirm_change
Destructive

Apply a change proposed in this conversation, by its id, once the user has said yes to that change.

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": {
      "change_id": "<change_id>"
    },
    "name": "confirm_change"
  }
}

Input Schema

NameRequiredDescriptionDefault
change_idYesThe pending change id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true and readOnlyHint=false, so the agent knows this mutates state irreversibly. The description adds genuinely new behavioral context in the form of a consent gate, but leaves unstated what actually changes, whether repeat calls are idempotent, and what happens if the id is no longer pending.

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?

One sentence, no filler, and the consent precondition is placed at the point where it matters. Nothing could be removed without losing meaning.

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 one-parameter mutation tool with no output schema and annotations that already carry the safety profile, the description covers the essential decision input: consent. The remaining gap, error and idempotency behavior for an invalid or expired change id, is minor at this complexity.

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% and the single parameter is already documented as "The pending change id." The phrase "by its id" restates the schema without adding format, source, or validity details, so the baseline 3 applies.

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 verb (apply) and a specific resource (a change proposed in this conversation), scoped by its id. That is enough to distinguish it from discard_change without opening either schema, though no sibling is named explicitly.

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?

"Once the user has said yes to that change" gives a clear, testable precondition for invoking the tool, which is the key selection criterion here. It stops short of naming the when-not case (user declines -> discard_change) or handling ambiguity such as a stale or already-applied id.

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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