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impact_emit

Read-only

Generate a machine-readable Impact Manifest from a Terraform plan to assess change safety. Runs offline and plan-only, returning a manifest handle for further explanation.

Instructions

Produce an Impact Manifest (a machine-readable change-safety assertion) from a Terraform plan, using blastcheck.

plan_path may point at terraform show -json output or at a saved .tfplan file (converted automatically). The analysis is offline and plan-only: nothing is sent anywhere, no cloud credentials are used, and a plan-only manifest can never claim safe - it says what it verified and what it could not.

Returns a manifest_handle (pass it to impact_explain) plus a short summary. The full manifest is written to a private temp file rather than returned inline, because it is large.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
plan_pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already mark the tool readOnly and non-destructive. The description goes further and adds materially useful behavioral detail: the analysis is offline and plan-only, no cloud credentials are used, a plan-only manifest can never claim 'safe', and the full manifest is written to a private temp file rather than returned inline due to size. No contradiction with annotations.

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?

The description is moderately long but every sentence earns its place: purpose, parameter format, safety/behavioral caveats, and return value are each covered in a clean, front-loaded structure. No filler or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with one parameter, safety annotations, an output schema, and a single sibling, the description covers everything needed: what it produces, what input it accepts, key limitations, the handle-based return contract, and the follow-up tool. Nothing important is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema provides no description for plan_path (0% coverage), so the description carries the full burden. It does this excellently by specifying that plan_path may point at 'terraform show -json' output or a saved .tfplan file, and that conversion is automatic. This is exactly the semantic information an agent needs.

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 opens with a specific verb and resource: 'Produce an Impact Manifest... from a Terraform plan, using blastcheck.' It clearly states what the tool creates and from what input, and distinguishes it from the obvious sibling impact_explain by noting the returned handle is meant to be passed there.

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 description gives clear context for when to use impact_emit: when you need to generate a plan-only Impact Manifest from a Terraform plan. It explicitly routes the downstream step to impact_explain via the manifest_handle. It does not spell out 'when not to use' or formal alternatives, but the relationship to impact_explain is clear enough.

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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