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Project stack cost over time

project_stack
Read-only

Month-by-month cost for a whole stack as users grow, with startup perks applied if requested, plus cost cliffs (forced plan upgrades, sharp jumps, credits running out). Example: {"vendors":[{"vendor_id":"supabase"},{"vendor_id":"vercel"}],"start_mau":2000,"monthly_growth":0.15,"months":24,"apply_perks":true,"founder":{"gateways":["mercury"]}}.

Input Schema

NameRequiredDescriptionDefault
seatsNoTeam members on per-seat plans. Default 1.
monthsNo
founderNoOptional company details used only to find startup perks.
vendorsYes
per_userNoUsage per active user a month, e.g. {"sms": 2, "file_storage_gb": 0.2, "ai_input_ktok": 30}. Replaces the profile and the filled-in defaults for those units; a plan's questions say which unit each answer sets. Units: mau, seat, request_million, bandwidth_gb, db_storage_gb, egress_gb, email, event, error_event, compute_hour, revenue_usd, transaction, ai_input_ktok, ai_output_ktok, kv_read, kv_write, ci_hour, file_storage_gb, file_egress_gb, file_write, file_read, video_min_stored, video_min_delivered, sms, job_run, search_request, search_record.
start_mauYes
mau_seriesNoExplicit MAU per month; overrides start_mau, monthly_growth and months.
per_1k_mauNoOverride usage per 1,000 MAU. Units: mau, seat, request_million, bandwidth_gb, db_storage_gb, egress_gb, email, event, error_event, compute_hour, revenue_usd, transaction, ai_input_ktok, ai_output_ktok, kv_read, kv_write, ci_hour, file_storage_gb, file_egress_gb, file_write, file_read, video_min_stored, video_min_delivered, sms, job_run, search_request, search_record.
profile_idNoUsage profile: b2b_saas (default), consumer_app, booking_marketplace, content_site, ios_on_device. Defaults to the app type's profile.
apply_perksNo
monthly_growthNoe.g. 0.1 = 10% per month
revenue_per_mau_usdNoAverage monthly revenue per active user (for payment fees).
transactions_per_mauNoPayments per active user per month.

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result. Its shape depends on the tool.
staleYes
caveatsYesShow to the user word for word.
sourcesYes
confidenceYes
assumptionsYesUsage and pricing assumptions behind the numbers.
disclosuresYesAlways includes the neutrality note: no vendor pays for a place in the answer. Link its url when you mention how Kong Reviews is paid.
generated_atYes
engine_versionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed14 schema fields changed
    • changedInput schema / properties / per_1k_mau / description
      Previous value: -"Override usage per 1,000 MAU. Units: mau, seat, request_million, bandwidth_gb, db_storage_gb, egress_gb, email, event, error_event, compute_hour, revenue_usd, transaction, ai_input_ktok, ai_output_ktok, kv_read, kv_write, ci_hour."New value: +"Override usage per 1,000 MAU. Units: mau, seat, request_million, bandwidth_gb, db_storage_gb, egress_gb, email, event, error_event, compute_hour, revenue_usd, transaction, ai_input_ktok, ai_output_ktok, kv_read, kv_write, ci_hour, file_storage_gb, file_egress_gb, file_write, file_read, video_min_stored, video_min_delivered, sms, job_run, search_request, search_record."
    • addedInput schema / properties / per_1k_mau / properties / file_egress_gb
      Added value: +{
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / per_1k_mau / properties / file_read
      Added value: +{
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / per_1k_mau / properties / file_storage_gb
      Added value: +{
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / per_1k_mau / properties / file_write
      Added value: +{
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / per_1k_mau / properties / job_run
      Added value: +{
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / per_1k_mau / properties / search_record
      Added value: +{
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / per_1k_mau / properties / search_request
      Added value: +{
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / per_1k_mau / properties / sms
      Added value: +{
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / per_1k_mau / properties / video_min_delivered
      Added value: +{
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / per_1k_mau / properties / video_min_stored
      Added value: +{
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / per_user
      Added value: +{
      +  "additionalProperties": false,
      +  "description": "Usage per active user a month, e.g. {\"sms\": 2, \"file_storage_gb\": 0.2, \"ai_input_ktok\": 30}. Replaces the profile and the filled-in defaults for those units; a plan's questions say which unit each answer sets. Units: mau, seat, request_million, bandwidth_gb, db_storage_gb, egress_gb, email, event, error_event, compute_hour, revenue_usd, transaction, ai_input_ktok, ai_output_ktok, kv_read, kv_write, ci_hour, file_storage_gb, file_egress_gb, file_write, file_read, video_min_stored, video_min_delivered, sms, job_run, search_request, search_record.",
      +  "properties": {
      +    "ai_input_ktok": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "ai_output_ktok": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "bandwidth_gb": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "ci_hour": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "compute_hour": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "db_storage_gb": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "egress_gb": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "email": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "error_event": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "event": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "file_egress_gb": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "file_read": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "file_storage_gb": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "file_write": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "job_run": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "kv_read": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "kv_write": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "mau": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "request_million": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "revenue_usd": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "search_record": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "search_request": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "seat": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "sms": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "transaction": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "video_min_delivered": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "video_min_stored": {
      +      "minimum": 0,
      +      "type": "number"
      +    }
      +  },
      +  "type": "object"
      +}
    • changedInput schema / properties / vendors / maxItems
      Previous value: -12New value: +20
    • addedOutput schema / properties / disclosures / description
      Added value: +"Always includes the neutrality note: no vendor pays for a place in the answer. Link its url when you mention how Kong Reviews is paid."
  2. Changed1 schema field changed
    • changedInput schema / properties / profile_id / description
      Previous value: -"Usage profile: b2b_saas (default), consumer_app, booking_marketplace, content_site."New value: +"Usage profile: b2b_saas (default), consumer_app, booking_marketplace, content_site, ios_on_device. Defaults to the app type's profile."
  3. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds useful behavioral detail beyond annotations: the output includes cost cliffs such as forced plan upgrades, sharp jumps, and credits expiring, which tells the agent what to expect. It does not state pagination, cost model assumptions, or currency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One dense sentence front-loads the purpose well, but the trailing example dominates the length and only illustrates a subset of the 13 parameters. The raw JSON example is useful yet not the most token-efficient way to convey it; overall it's adequate but not tight.

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?

This is a complex 13-parameter nested tool with an output schema, so the description must carry modeling semantics. It covers projection, growth, perks, and cliff detection, and the example anchors the vendor/founder shape. It omits how vendor plan_id/required interact with the pricing model and how per_user competes with per_1k_mau, leaving minor gaps.

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 69%, and the schema itself carries the rich per_unit/per_1k_mau unit lists and profile enums. The description's main contribution is a worked example showing vendors as objects with vendor_id, plus founder.gateways, which clarifies two under-documented required/nested spots. It says nothing about per_user vs per_1k_mau precedence or how apply_perks interacts with founder.existing_customer_of.

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?

States a specific verb+resource: month-by-month cost projection for a whole stack as MAU grows, plus cost cliffs. This distinguishes it from estimate_cost (point-in-time) and find_cost_cliffs (cliff-only) by combining projection + cliffs. It doesn't explicitly name those siblings, so it falls short of a 5.

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 word 'stack' and 'as users grow' implies usage for multi-vendor growth projections, and 'with startup perks applied if requested' hints at when to set apply_perks. But there is no explicit when-to-use-this-vs-estimate_cost/find_perks/plan_stack guidance, no prerequisites, and no exclusions.

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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