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Find alternatives for a subscription

find_alternatives
Read-onlyIdempotent

Use when the user names one product they pay for and asks for something cheaper, whether it's worth it, or what to switch to: 'cheaper than Typeform?', 'is Semrush worth $139 a month for us?', 'we pay $90 for SendGrid'. Pass what they pay (monthly_spend_usd), seats, the features they use and their usage (usage, or evidence such as '40,000 emails/mo') so each plan's caps can be checked. Returns ranked paths re-costed at their price, including a cheaper plan of the same vendor (right_size). A path with fit 'fits' passed every check; a 'check' path is a candidate with open checks, so ask its questions before recommending it. status, why and questions say what is still missing. Savings are modeled from public list prices. Stackcut stores the arguments of tool calls to improve its recommendations (vendor names, prices, seats, features, usage numbers, billing amounts and project descriptions; account keys only as a one-way hash, billing and validation sources not at all; never IP addresses): don't send personal data or secrets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
planNoTheir plan, e.g. 'Essential' (else read from the vendor name)
limitNo
seatsNoPaid seats; per-seat prices on both sides scale with it
usageNoTheir usage, checked against each plan's caps (priced with published overage and add-ons). Units: seats, members, mau, emails_per_month, emails_per_day, contacts, domains, events_per_month, pageviews_per_month, errors_per_month, requests_per_month, requests_per_day, searches_per_month, cpu_ms_per_request, db_gb, storage_gb, bandwidth_gb, projects, sites, videos, video_minutes, responses_per_month, tasks_per_month, keywords_tracked, credits_per_month, history_days, apps, files, event_types, monitors, tokens_per_month, images_per_month, audio_minutes_per_month, characters_per_month, transactions_per_month, sandbox_hours_per_month, concurrent_sessions, session_minutes, call_participants, meeting_minutes, records, inboxes, tokens_in_per_month, tokens_out_per_month, cached_tokens_per_month, video_minutes_stored, video_minutes_delivered_per_month, gmv_usd_per_month, payouts_per_month, active_accounts, verifications_per_month, browser_hours_per_month, proxy_gb_per_month, job_executions_per_month, sso_connections, sso_users, inbound_emails_per_month, stream_hours_per_month, vcpu_hours_per_month, credits_usd_per_month, disputes_per_month, payout_volume_usd_per_month, object_writes_per_month, object_reads_per_month, job_executions_per_day, scim_connections, searches_per_hour, sms_per_month, vectors_stored, vector_queries_per_month, cache_commands_per_month, mtu, gpu_seconds_per_month, revenue_usd_per_month, phone_minutes_per_month, vector_read_units_per_month, vector_write_units_per_month (MAU is accepted for mau). Example: {"emails_per_month": 40000, "domains": 4, "db_gb": 3}. get_usage_questions says which units matter for a vendor and where the user finds each number.
vendorYesProduct name as on the invoice, e.g. 'Typeform', 'Slack Pro', 'HubSpot Sales Hub Starter'
billingNoBilling evidence: scope (dedicated, shared or unknown), account_id (a non-secret alias; the account key), allocated_monthly_usd (attribution only, never a saving), avoidable_monthly_usd with avoidability_confirmed (what leaving actually removes from the bill; 0 is valid), commitment_months_remaining (non-refundable months left; 0 only when cancellable now) and source (a reference, no private contents). With billing, a path is eligible only once the avoidable amount, scope, commitment and source are all given
evidenceNoUsage facts in words, read best effort: 'db 1.5 GB', '40,000 emails/mo', '37 domains', '3,000 MAU', 'shared by 40 projects'
confirmedNotrue when the user confirmed they pay for this (with plan: its list price counts as confirmed spend). Scanner-only lines are unconfirmed
last_activeNoWhen this resource (project, app, account) was last used: an ISO date ('2026-03-10'), 'never', or '5 months ago'. 90+ days idle or never used gets a cleanup lever
shared_withNoHow many products share this bill (one account, org or team), when only this product is audited: moving one product off it saves only what it adds to the bill, never the whole bill. monthly_spend_usd is then the whole account's bill
active_usersNoPeople or accounts active in the last 30 days (0 = unused: cleanup levers and sanity checks)
features_usedNoFeatures they actually use; sizes and counts ('4,000 contacts', 'videos over 5 minutes') are read as usage
monthly_spend_usdNoWhat they pay per month today, all seats (replaces the modeled baseline)
revenue_usd_per_monthNoThe product's revenue per month (context for sanity checks: no revenue, cost per user, fees vs revenue; never a cap)
replacement_validationNoA replacement path the user checked themselves: its current price, capacity, burst limits and paid add-ons against their usage. It answers that path's capacity checks (never its must-haves) and ranks it first

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed80 schema fields changed
    • addedInput schema / properties / billing
      Added value: +{
      +  "additionalProperties": false,
      +  "description": "Billing evidence: scope (dedicated, shared or unknown), account_id (a non-secret alias; the account key), allocated_monthly_usd (attribution only, never a saving), avoidable_monthly_usd with avoidability_confirmed (what leaving actually removes from the bill; 0 is valid), commitment_months_remaining (non-refundable months left; 0 only when cancellable now) and source (a reference, no private contents). With billing, a path is eligible only once the avoidable amount, scope, commitment and source are all given",
      +  "properties": {
      +    "account_id": {
      +      "maxLength": 200,
      +      "minLength": 1,
      +      "type": "string"
      +    },
      +    "allocated_monthly_usd": {
      +      "maximum": 1000000000000,
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "avoidability_confirmed": {
      +      "type": "boolean"
      +    },
      +    "avoidable_monthly_usd": {
      +      "maximum": 1000000000000,
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "commitment_months_remaining": {
      +      "maximum": 120,
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "scope": {
      +      "enum": [
      +        "dedicated",
      +        "shared",
      +        "unknown"
      +      ],
      +      "maxLength": 2000,
      +      "type": "string"
      +    },
      +    "source": {
      +      "maxLength": 1000,
      +      "minLength": 1,
      +      "type": "string"
      +    }
      +  },
      +  "type": "object"
      +}
    • addedInput schema / properties / replacement_validation
      Added value: +{
      +  "additionalProperties": false,
      +  "description": "A replacement path the user checked themselves: its current price, capacity, burst limits and paid add-ons against their usage. It answers that path's capacity checks (never its must-haves) and ranks it first",
      +  "properties": {
      +    "capacity_and_price_confirmed": {
      +      "description": "true only after checking the price, capacity, burst limits and required add-ons",
      +      "type": "boolean"
      +    },
      +    "path_id": {
      +      "description": "The path id (from find_alternatives or audit_stack)",
      +      "maxLength": 200,
      +      "minLength": 1,
      +      "type": "string"
      +    },
      +    "source": {
      +      "description": "Where the check comes from (usage report, pricing page, quote); no private contents",
      +      "maxLength": 1000,
      +      "minLength": 1,
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "path_id",
      +    "capacity_and_price_confirmed",
      +    "source"
      +  ],
      +  "type": "object"
      +}
    • addedInput schema / properties / usage / properties / MAU / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / active_accounts / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / apps / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / audio_minutes_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / bandwidth_gb / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / browser_hours_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / cache_commands_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / cached_tokens_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / call_participants / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / characters_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / concurrent_sessions / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / contacts / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / cpu_ms_per_request / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / credits_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / credits_usd_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / db_gb / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / disputes_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / domains / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / emails_per_day / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / emails_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / errors_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / event_types / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / events_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / files / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / gmv_usd_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / gpu_seconds_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / history_days / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / images_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / inbound_emails_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / inboxes / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / job_executions_per_day / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / job_executions_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / keywords_tracked / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / mau / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / meeting_minutes / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / members / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / monitors / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / mtu / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / object_reads_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / object_writes_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / pageviews_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / payout_volume_usd_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / payouts_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / phone_minutes_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / projects / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / proxy_gb_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / records / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / requests_per_day / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / requests_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / responses_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / revenue_usd_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / sandbox_hours_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / scim_connections / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / searches_per_hour / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / searches_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / seats / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / session_minutes / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / sites / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / sms_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / sso_connections / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / sso_users / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / storage_gb / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / stream_hours_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / tasks_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / tokens_in_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / tokens_out_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / tokens_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / transactions_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / vcpu_hours_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / vector_queries_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / vector_read_units_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / vector_write_units_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / vectors_stored / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / verifications_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / video_minutes / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / video_minutes_delivered_per_month / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / video_minutes_stored / maximum
      Added value: +1000000000000
    • addedInput schema / properties / usage / properties / videos / maximum
      Added value: +1000000000000
  2. Changed18 schema fields changed
    • addedInput schema / properties / active_users
      Added value: +{
      +  "description": "People or accounts active in the last 30 days (0 = unused: cleanup levers and sanity checks)",
      +  "maximum": 1000000000,
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / confirmed
      Added value: +{
      +  "description": "true when the user confirmed they pay for this (with plan: its list price counts as confirmed spend). Scanner-only lines are unconfirmed",
      +  "type": "boolean"
      +}
    • changedInput schema / properties / evidence / description
      Previous value: -"Usage facts in words, read best effort: 'db 1.5 GB', '40,000 emails/mo', '37 domains', '3,000 MAU'"New value: +"Usage facts in words, read best effort: 'db 1.5 GB', '40,000 emails/mo', '37 domains', '3,000 MAU', 'shared by 40 projects'"
    • addedInput schema / properties / last_active
      Added value: +{
      +  "description": "When this resource (project, app, account) was last used: an ISO date ('2026-03-10'), 'never', or '5 months ago'. 90+ days idle or never used gets a cleanup lever",
      +  "maxLength": 100,
      +  "type": "string"
      +}
    • addedInput schema / properties / revenue_usd_per_month
      Added value: +{
      +  "description": "The product's revenue per month (context for sanity checks: no revenue, cost per user, fees vs revenue; never a cap)",
      +  "maximum": 1000000000,
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / shared_with
      Added value: +{
      +  "description": "How many products share this bill (one account, org or team), when only this product is audited: moving one product off it saves only what it adds to the bill, never the whole bill. monthly_spend_usd is then the whole account's bill",
      +  "maximum": 100000,
      +  "minimum": 1,
      +  "type": "integer"
      +}
    • changedInput schema / properties / usage / description
      Previous value: -"Their usage, checked against each plan's caps (priced with published overage and add-ons). Units: seats, members, mau, emails_per_month, emails_per_day, contacts, domains, events_per_month, pageviews_per_month, errors_per_month, requests_per_month, requests_per_day, searches_per_month, cpu_ms_per_request, db_gb, storage_gb, bandwidth_gb, projects, sites, videos, video_minutes, responses_per_month, tasks_per_month, keywords_tracked, credits_per_month, history_days, apps, files, event_types, monitors, tokens_per_month, images_per_month, audio_minutes_per_month, characters_per_month, transactions_per_month, sandbox_hours_per_month, concurrent_sessions, session_minutes, call_participants, meeting_minutes, records, inboxes, tokens_in_per_month, tokens_out_per_month, cached_tokens_per_month, video_minutes_stored, video_minutes_delivered_per_month, gmv_usd_per_month, payouts_per_month, active_accounts, verifications_per_month, browser_hours_per_month, proxy_gb_per_month, job_executions_per_month, sso_connections, sso_users, inbound_emails_per_month, stream_hours_per_month, vcpu_hours_per_month, credits_usd_per_month, disputes_per_month, payout_volume_usd_per_month, object_writes_per_month, object_reads_per_month, job_executions_per_day, scim_connections (MAU is accepted for mau). Example: {\"emails_per_month\": 40000, \"domains\": 4, \"db_gb\": 3}. get_usage_questions says which units matter for a vendor and where the user finds each number."New value: +"Their usage, checked against each plan's caps (priced with published overage and add-ons). Units: seats, members, mau, emails_per_month, emails_per_day, contacts, domains, events_per_month, pageviews_per_month, errors_per_month, requests_per_month, requests_per_day, searches_per_month, cpu_ms_per_request, db_gb, storage_gb, bandwidth_gb, projects, sites, videos, video_minutes, responses_per_month, tasks_per_month, keywords_tracked, credits_per_month, history_days, apps, files, event_types, monitors, tokens_per_month, images_per_month, audio_minutes_per_month, characters_per_month, transactions_per_month, sandbox_hours_per_month, concurrent_sessions, session_minutes, call_participants, meeting_minutes, records, inboxes, tokens_in_per_month, tokens_out_per_month, cached_tokens_per_month, video_minutes_stored, video_minutes_delivered_per_month, gmv_usd_per_month, payouts_per_month, active_accounts, verifications_per_month, browser_hours_per_month, proxy_gb_per_month, job_executions_per_month, sso_connections, sso_users, inbound_emails_per_month, stream_hours_per_month, vcpu_hours_per_month, credits_usd_per_month, disputes_per_month, payout_volume_usd_per_month, object_writes_per_month, object_reads_per_month, job_executions_per_day, scim_connections, searches_per_hour, sms_per_month, vectors_stored, vector_queries_per_month, cache_commands_per_month, mtu, gpu_seconds_per_month, revenue_usd_per_month, phone_minutes_per_month, vector_read_units_per_month, vector_write_units_per_month (MAU is accepted for mau). Example: {\"emails_per_month\": 40000, \"domains\": 4, \"db_gb\": 3}. get_usage_questions says which units matter for a vendor and where the user finds each number."
    • addedInput schema / properties / usage / properties / cache_commands_per_month
      Added value: +{
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / usage / properties / gpu_seconds_per_month
      Added value: +{
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / usage / properties / mtu
      Added value: +{
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / usage / properties / phone_minutes_per_month
      Added value: +{
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / usage / properties / revenue_usd_per_month
      Added value: +{
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / usage / properties / searches_per_hour
      Added value: +{
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / usage / properties / sms_per_month
      Added value: +{
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / usage / properties / vector_queries_per_month
      Added value: +{
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / usage / properties / vector_read_units_per_month
      Added value: +{
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / usage / properties / vector_write_units_per_month
      Added value: +{
      +  "minimum": 0,
      +  "type": "number"
      +}
    • addedInput schema / properties / usage / properties / vectors_stored
      Added value: +{
      +  "minimum": 0,
      +  "type": "number"
      +}
  3. Changed12 schema fields changed
    • addedInput schema / properties / evidence
      Added value: +{
      +  "description": "Usage facts in words, read best effort: 'db 1.5 GB', '40,000 emails/mo', '37 domains', '3,000 MAU'",
      +  "items": {
      +    "maxLength": 500,
      +    "type": "string"
      +  },
      +  "maxItems": 50,
      +  "type": "array"
      +}
    • changedInput schema / properties / features_used / description
      Previous value: -"Features they actually use"New value: +"Features they actually use; sizes and counts ('4,000 contacts', 'videos over 5 minutes') are read as usage"
    • addedInput schema / properties / features_used / items / maxLength
      Added value: +200
    • addedInput schema / properties / features_used / maxItems
      Added value: +50
    • changedInput schema / properties / monthly_spend_usd / description
      Previous value: -"What they pay per month today (replaces the modeled baseline)"New value: +"What they pay per month today, all seats (replaces the modeled baseline)"
    • addedInput schema / properties / monthly_spend_usd / maximum
      Added value: +1000000
    • addedInput schema / properties / plan
      Added value: +{
      +  "description": "Their plan, e.g. 'Essential' (else read from the vendor name)",
      +  "maxLength": 100,
      +  "type": "string"
      +}
    • addedInput schema / properties / seats
      Added value: +{
      +  "description": "Paid seats; per-seat prices on both sides scale with it",
      +  "maximum": 100000,
      +  "minimum": 1,
      +  "type": "integer"
      +}
    • addedInput schema / properties / usage
      Added value: +{
      +  "additionalProperties": false,
      +  "description": "Their usage, checked against each plan's caps (priced with published overage and add-ons). Units: seats, members, mau, emails_per_month, emails_per_day, contacts, domains, events_per_month, pageviews_per_month, errors_per_month, requests_per_month, requests_per_day, searches_per_month, cpu_ms_per_request, db_gb, storage_gb, bandwidth_gb, projects, sites, videos, video_minutes, responses_per_month, tasks_per_month, keywords_tracked, credits_per_month, history_days, apps, files, event_types, monitors, tokens_per_month, images_per_month, audio_minutes_per_month, characters_per_month, transactions_per_month, sandbox_hours_per_month, concurrent_sessions, session_minutes, call_participants, meeting_minutes, records, inboxes, tokens_in_per_month, tokens_out_per_month, cached_tokens_per_month, video_minutes_stored, video_minutes_delivered_per_month, gmv_usd_per_month, payouts_per_month, active_accounts, verifications_per_month, browser_hours_per_month, proxy_gb_per_month, job_executions_per_month, sso_connections, sso_users, inbound_emails_per_month, stream_hours_per_month, vcpu_hours_per_month, credits_usd_per_month, disputes_per_month, payout_volume_usd_per_month, object_writes_per_month, object_reads_per_month, job_executions_per_day, scim_connections (MAU is accepted for mau). Example: {\"emails_per_month\": 40000, \"domains\": 4, \"db_gb\": 3}. get_usage_questions says which units matter for a vendor and where the user finds each number.",
      +  "properties": {
      +    "MAU": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "active_accounts": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "apps": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "audio_minutes_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "bandwidth_gb": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "browser_hours_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "cached_tokens_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "call_participants": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "characters_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "concurrent_sessions": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "contacts": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "cpu_ms_per_request": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "credits_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "credits_usd_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "db_gb": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "disputes_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "domains": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "emails_per_day": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "emails_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "errors_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "event_types": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "events_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "files": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "gmv_usd_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "history_days": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "images_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "inbound_emails_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "inboxes": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "job_executions_per_day": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "job_executions_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "keywords_tracked": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "mau": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "meeting_minutes": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "members": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "monitors": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "object_reads_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "object_writes_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "pageviews_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "payout_volume_usd_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "payouts_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "projects": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "proxy_gb_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "records": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "requests_per_day": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "requests_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "responses_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "sandbox_hours_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "scim_connections": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "searches_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "seats": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "session_minutes": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "sites": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "sso_connections": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "sso_users": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "storage_gb": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "stream_hours_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "tasks_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "tokens_in_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "tokens_out_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "tokens_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "transactions_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "vcpu_hours_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "verifications_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "video_minutes": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "video_minutes_delivered_per_month": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "video_minutes_stored": {
      +      "minimum": 0,
      +      "type": "number"
      +    },
      +    "videos": {
      +      "minimum": 0,
      +      "type": "number"
      +    }
      +  },
      +  "type": "object"
      +}
    • changedInput schema / properties / vendor / description
      Previous value: -"Product name, e.g. 'Typeform'"New value: +"Product name as on the invoice, e.g. 'Typeform', 'Slack Pro', 'HubSpot Sales Hub Starter'"
    • addedInput schema / properties / vendor / maxLength
      Added value: +200
    • addedInput schema / properties / vendor / minLength
      Added value: +1
  4. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Even with readOnlyHint, idempotentHint, and destructiveHint annotations, the description adds substantial behavioral context: it explains the meaning of fit vs check, instructs that 'ask its questions before recommending it', describes savings as modeled from public list prices, and discloses data storage practices ('Stackcut stores the arguments of tool calls... never IP addresses'). This goes well beyond the annotations and does not contradict them.

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

Conciseness4/5

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

The description is front-loaded with the 'Use when' trigger, followed by parameter guidance, return semantics, savings modeling, and data privacy. Each sentence has a distinct purpose; however, the privacy sentence is quite long and packs many details, making it slightly heavier than necessary. Overall it is dense but well organized for a tool with 15 parameters.

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?

The description covers the core invocation flow, including what to pass, what the tool returns (ranked paths, fit/check/status/why/questions), how to handle open-check paths, savings assumptions, and data handling. It does not mention optional parameters like billing, shared_with, or replacement_validation, but those are adequately described in the schema and are not essential to the primary use case. The absence of an output schema is partially offset by the detailed explanation of result semantics.

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?

The input schema already covers 93% of parameters, so the baseline is 3. The description adds value by giving extraction guidance: it maps natural-language user statements to specific parameters ('Pass what they pay (monthly_spend_usd), seats, the features they use and their usage (usage, or evidence such as '40,000 emails/mo')'). This is a meaningful layer beyond the schema's per-field descriptions, though it does not discuss every optional parameter.

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 states a specific verb and resource: 'Use when the user names one product they pay for and asks for something cheaper, whether it's worth it, or what to switch to.' It further clarifies scope by describing the return, 'ranked paths re-costed at their price, including a cheaper plan of the same vendor (right_size).' This distinguishes it from siblings like audit_stack and search_recipes by naming the trigger condition and output.

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 an explicit trigger ('Use when the user names one product they pay for...') and tells the agent which parameters to populate ('Pass what they pay (monthly_spend_usd), seats, the features they use and their usage (usage, or evidence such as '40,000 emails/mo')'). It also references the sibling tool get_usage_questions for determining which usage units matter. However, it does not explicitly state when not to use this tool or name exclusion criteria relative to alternatives.

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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