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by tathagat22
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Rust
Local

Reverse network + cloud/DB actions

walkback_compensate

Execute compensating actions for previously recorded reversible operations, like undoing HTTP requests or reversing database changes. Runs in preview mode; set execute=true to apply changes.

Instructions

Execute the compensating actions recorded since the last checkpoint: the reversing HTTP request (DELETE undoes POST, refund undoes charge) AND any recorded reversal commands (cloud teardown, inverse SQL). Dry-run by default — pass execute=true to fire them. Most-recent-first.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "walkback_compensate"
  }
}

Input Schema

NameRequiredDescriptionDefault
cwdNoProject directory. Defaults to the server's working directory.
executeNoIf true, actually send the compensating requests. Defaults to false (preview).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.2

TDQS

A4.2/5.0
Behavior4/5

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

No annotations provided, so the description carries full burden. It discloses dry-run behavior, execution flag, and action ordering. It explains which types of actions are compensated (reverse HTTP request, recorded reversal commands). It lacks explicit warnings about irreversibility or failure modes, but is reasonably transparent for a compensation tool.

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 sentences with no wasted words. The description is front-loaded with the core action and immediately provides concrete examples. Every sentence earns its place.

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?

Given no output schema and no annotations, the description covers purpose, usage (dry-run), and parameter semantics. It could mention what the preview output looks like or what happens on failure, but it's reasonably complete for a tool with two simple parameters.

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 coverage is 100% for both parameters (cwd, execute). The description adds value over the schema by explaining the dry-run default and the effect of execute=true. This goes beyond the schema's descriptions.

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?

The description uses specific verbs and resources: 'Execute the compensating actions recorded since the last checkpoint' with concrete examples (DELETE, refund, cloud teardown, inverse SQL). It clearly distinguishes from sibling tools like walkback_rollback or walkback_revert by focusing on recorded compensating actions.

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 description states dry-run default and execute=true to fire, and mentions most-recent-first order. However, it does not explicitly state when to use this tool versus alternatives like walkback_revert or walkback_rollback, nor does it provide exclusion criteria.

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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