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Apply Approved Change

apply_change

Execute a confirmed proposal from propose_change. Server-side budget hard-limits still apply. Returns per-operation results and undo availability.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
proposal_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations cover the safety profile (readOnlyHint=false, idempotentHint=false, destructiveHint=false, openWorldHint=true), so the bar is lower. The description still adds real context: server-side budget hard-limits apply, per-operation results are returned, and undo availability is signalled, which is what makes destructiveHint=false credible. It does not state auth/permission requirements.

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?

Three short sentences with zero filler, and the core action and its source are front-loaded before the caveats. Every sentence carries distinct information (source, constraint, return behavior).

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 an output schema present, return values need not be detailed, and the description still notes per-operation results and undo availability. Budget hard-limits are disclosed, which matters for a non-idempotent mutation. Failure modes (e.g. what happens on a stale or unapproved proposal_id) are left unstated.

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?

There is one parameter (proposal_id) with 0% schema description coverage, so the description must compensate. It does explain the provenance and required state of the value ('a confirmed proposal from propose_change'), which is the key semantic an agent needs. It does not describe the ID format or where to obtain it if the proposal was created elsewhere.

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 verb (Execute) and a specific resource (a confirmed proposal from propose_change), and the phrasing 'confirmed proposal' distinguishes it from the sibling propose_change that creates the proposal. An agent can immediately tell this is the commit step, not the drafting step.

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?

Usage context is clear: this is the execution step following propose_change and prior confirmation, with undo_change available as the inverse. It does not explicitly say when NOT to use it (e.g. unapproved proposals) or spell out the approval prerequisite, so it stops short of the full when/when-not treatment.

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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