Skip to main content
Glama
getnable

nable (finops-mcp)

by getnable

Estimate change cost

estimate_change_cost

Check cost impact of a Terraform plan, Helm diff, or monthly delta before applying. Returns monthly/annual cost delta and budget verdict (ok, warn, over_budget) to fit your budget.

Instructions

Cost preflight for a proposed change: what it costs and whether it fits budget.

Agent-native. Call this BEFORE applying an infrastructure change to get a machine verdict (ok / warn / over_budget / no_budget) plus the monthly and annual cost delta and the budget headroom. Read-only: it estimates and checks, it never applies anything.

Describe the change one of these ways:

  • terraform_plan_json / terraform_plan_file / tf_dir : a Terraform plan

  • helm_diff : output of helm diff upgrade or a values.yaml diff

  • monthly_delta_usd : a known monthly cost delta (escape hatch for any change the estimators don't parse, e.g. "launch a db.r6g.4xlarge")

budget_name selects which budget to check against; default is the first active budget. With no budget configured the verdict is "no_budget" and the cost delta is still returned.

Good triggers: "will this fit my budget", "what will this terraform/helm change cost before I apply it", "cost preflight", "can the agent afford this change". Examples: - "What would this change cost per month?" - "Preflight the cost of this terraform plan"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tf_dirNo
helm_diffNo
budget_nameNo
monthly_delta_usdNo
terraform_plan_fileNo
terraform_plan_jsonNo
Behavior1/5

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

Annotations declare readOnlyHint: false while the description asserts 'Read-only: it estimates and checks, it never applies anything' — a direct contradiction. Per the rubric, any description that contradicts annotations scores 1 and must be flagged as an Annotation Contradiction.

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?

Well-structured and front-loaded: a one-line summary, read-only callout, bulleted input options, budget behavior, good triggers, and examples. Every sentence serves a purpose, and the bullet formatting makes it scannable.

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 complex 6-parameter, multi-mode tool with no output schema, the description covers inputs, verdicts (ok/warn/over_budget/no_budget), return values (delta, headroom), defaults, and edge cases. No significant gaps exist.

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?

Despite 0% schema description coverage, the description fully compensates by explaining each input mode (Terraform plan via json/file/dir, helm_diff, and the monthly_delta_usd escape hatch) and documenting budget_name's default (first active budget) and the no_budget edge case.

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 opening line 'Cost preflight for a proposed change: what it costs and whether it fits budget' uses a specific verb+resource construction, and the description further clarifies scope ('Read-only', 'it estimates and checks, it never applies anything'), distinguishing it from siblings like get_cost_summary and check_ai_budget.

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?

Provides excellent when-to-use guidance: 'Call this BEFORE applying an infrastructure change', a 'Good triggers' list, and two example queries. However, it lacks an explicit 'when not to use' note naming alternative tools (e.g., get_cost_summary), so it falls just short of a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/getnable/finopsmcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server