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elc-partnership-builder

Lay out the 12-month membership journey for a basket

design_journey
Read-onlyIdempotent

The moment the package becomes a year: deterministic month-by-month plan of what lands when, computed from the basket's own scheduling metadata (lead times, anchors like the April 2027 conference, spacing, and heavy-event collision rules). Returns placed months, the recurring-every-month layer, and anything unplaceable WITH its reason. The plan contains ONLY items in the basket — narrate around it, never add or move an event. Call after customize_package, before request_offer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNoOptional. A short description of your goal and why you are calling this tool. Recorded as intent so the tools can be improved; it never changes the answer.
item_idsNoRequired. The basket: item ids toggled ON
preset_idNoRequired. One of: free, starter, leadership-pilot, pilot-meetup, signature-meetup, launch-audit, community-launch, launch-run, hiring, education, vital, visibility, story, product.
start_monthNoRequired. First membership month, YYYY-MM (ask the visitor; default to the month after the current one)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / preset_id / description
      Previous value: -"Required. One of: free, starter, leadership-pilot, pilot-meetup, hiring, education, vital, visibility, story, product."New value: +"Required. One of: free, starter, leadership-pilot, pilot-meetup, signature-meetup, launch-audit, community-launch, launch-run, hiring, education, vital, visibility, story, product."
  2. Changed9 schema fields changed
    • changedInput schema / properties / context / description
      Previous value: -"Explain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): \"Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization.\""New value: +"Optional. A short description of your goal and why you are calling this tool. Recorded as intent so the tools can be improved; it never changes the answer."
    • addedInput schema / properties / item_ids / anyOf
      Added value: +[
      +  {
      +    "items": {
      +      "type": "string"
      +    },
      +    "type": "array"
      +  },
      +  {
      +    "type": "string"
      +  }
      +]
    • changedInput schema / properties / item_ids / description
      Previous value: -"The basket: item ids toggled ON"New value: +"Required. The basket: item ids toggled ON"
    • removedInput schema / properties / item_ids / items
      Removed value: -{
      -  "type": "string"
      -}
    • removedInput schema / properties / item_ids / type
      Removed value: -"array"
    • addedInput schema / properties / preset_id / description
      Added value: +"Required. One of: free, starter, leadership-pilot, pilot-meetup, hiring, education, vital, visibility, story, product."
    • removedInput schema / properties / preset_id / enum
      Removed value: -[
      -  "free",
      -  "starter",
      -  "leadership-pilot",
      -  "pilot-meetup",
      -  "hiring",
      -  "education",
      -  "vital",
      -  "visibility",
      -  "story",
      -  "product"
      -]
    • changedInput schema / properties / start_month / description
      Previous value: -"First membership month, YYYY-MM (ask the visitor; default to the month after the current one)"New value: +"Required. First membership month, YYYY-MM (ask the visitor; default to the month after the current one)"
    • removedInput schema / required
      Removed value: -[
      -  "preset_id",
      -  "item_ids",
      -  "start_month",
      -  "context"
      -]
  3. Changed2 schema fields changed
    • addedInput schema / properties / context
      Added value: +{
      +  "description": "Explain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): \"Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization.\"",
      +  "type": "string"
      +}
    • changedInput schema / required
      Previous value: -[
      -  "preset_id",
      -  "item_ids",
      -  "start_month"
      -]New value: +[
      +  "preset_id",
      +  "item_ids",
      +  "start_month",
      +  "context"
      +]
  4. Changed1 schema field changed
    • changedInput schema / properties / start_month / description
      Previous value: -"First partnership month, YYYY-MM (ask the visitor; default to the month after the current one)"New value: +"First membership month, YYYY-MM (ask the visitor; default to the month after the current one)"
  5. Changed1 schema field changed
    • changedInput schema / properties / preset_id / enum
      Previous value: -[
      -  "free",
      -  "leadership-pilot",
      -  "pilot-meetup",
      -  "team",
      -  "vital",
      -  "hiring",
      -  "visibility",
      -  "education",
      -  "product",
      -  "story"
      -]New value: +[
      +  "free",
      +  "starter",
      +  "leadership-pilot",
      +  "pilot-meetup",
      +  "hiring",
      +  "education",
      +  "vital",
      +  "visibility",
      +  "story",
      +  "product"
      +]
  6. Changed1 schema field changed
    • changedInput schema / properties / preset_id / enum
      Previous value: -[
      -  "free",
      -  "leadership-pilot",
      -  "pilot-meetup",
      -  "vital",
      -  "hiring",
      -  "visibility",
      -  "education",
      -  "product",
      -  "story"
      -]New value: +[
      +  "free",
      +  "leadership-pilot",
      +  "pilot-meetup",
      +  "team",
      +  "vital",
      +  "hiring",
      +  "visibility",
      +  "education",
      +  "product",
      +  "story"
      +]
  7. Changed1 schema field changed
    • changedInput schema / properties / preset_id / enum
      Previous value: -[
      -  "free",
      -  "leadership-pilot",
      -  "pilot-meetup",
      -  "orbit",
      -  "nebula",
      -  "supernova",
      -  "quasar"
      -]New value: +[
      +  "free",
      +  "leadership-pilot",
      +  "pilot-meetup",
      +  "vital",
      +  "hiring",
      +  "visibility",
      +  "education",
      +  "product",
      +  "story"
      +]
  8. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description is not required to repeat safety. It adds value by stating the tool is deterministic, computed from scheduling metadata, and that output includes unplaceable items with reasons. It also reinforces the read-only nature with 'never add or move an event'. No contradictions.

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?

Three sentences with zero waste. The core purpose is front-loaded, followed by output details and a usage directive. Every sentence earns its place, and the structure is easy to scan.

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?

Without an output schema, the description adequately describes return values (placed months, recurring layer, unplaceable items with reasons). It also covers the input context and usage rule. For a read-only deterministic planner, this is nearly complete; minor gaps like error handling or edge cases are not essential.

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 description coverage is 100%, so the baseline is 3. The description references the basket and scheduling metadata but does not add syntax or format details beyond what the schema already provides. It adds minimal extra meaning about parameter roles, so a 3 is appropriate.

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 clearly states a specific action (producing a deterministic month-by-month plan) and resource (the 12-month membership journey for a basket). It distinguishes itself from siblings by positioning itself between customize_package and request_offer, and explicitly states the plan contains only items in the basket, avoiding confusion with tools that modify or offer.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit sequencing ('Call after customize_package, before request_offer') and a clear constraint ('never add or move an event'). This tells the agent exactly when to invoke the tool and what not to do, effectively covering both when and when-not without naming alternatives explicitly but making the context unambiguous.

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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