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by com.buckybuild
OverviewDiscussionsAdmin

List or unlist a project on the public map

setProjectMapListing
Idempotent

Put a project on the public Bucky map, or take it off. Pass projectId, or project with the name the user said; with neither, the result lists their projects and nothing is published. Listing publishes the build-lot centroid, the project name, its zone category, typology and lifecycle status to anyone — signed in or not. Nothing else about the project is published. The project must have a build lot with a centroid; a project that has only an address and no attached build parcel cannot be pinned. Ask the human before listing a site that is not already public knowledge. A client, a friend, or a private residence is theirs to publish, not yours. preview=true returns the current state, the exact pin that would be published, and any privacy warning, and writes nothing. Unlisting removes the pin but does not un-share anything already collected while it was public.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
listedYestrue lists the project on the public map; false removes it. Listing publishes the build-lot centroid and the project name to anyone, signed in or not.
contextYesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
previewYesWhen true, return the current listing state, the pin that would be published, and any privacy warning, and write nothing.
projectNoProject name to match, when you do not have the UUID. Case-insensitive; an exact name wins over a partial one. Matching more than one lists the candidates instead of guessing.
llm_modelYesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.
projectIdNoProject UUID. Omit if you pass `project`.
conversation_idNoEcho the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 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: +"Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    • addedInput schema / properties / conversation_id
      Added value: +{
+  "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
+  "type": "string"
+}
    • addedInput schema / properties / llm_model
      Added value: +{
+  "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
+  "type": "string"
+}
    • changedInput schema / required
      Previous value: -[
-  "listed",
-  "preview",
-  "context"
-]New value: +[
+  "listed",
+  "preview",
+  "context",
+  "llm_model"
+]
  2. Changed3 schema fields changed
    • addedInput schema / properties / project
      Added value: +{
+  "description": "Project name to match, when you do not have the UUID. Case-insensitive; an exact name wins over a partial one. Matching more than one lists the candidates instead of guessing.",
+  "maxLength": 200,
+  "minLength": 1,
+  "type": "string"
+}
    • addedInput schema / properties / projectId / description
      Added value: +"Project UUID. Omit if you pass `project`."
    • changedInput schema / required
      Previous value: -[
-  "projectId",
-  "listed",
-  "preview",
-  "context"
-]New value: +[
+  "listed",
+  "preview",
+  "context"
+]
  3. Added

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the annotations (readOnlyHint false, destructiveHint false, idempotentHint true), the description discloses exactly what gets published and to whom (centroid, project name, zone category, typology, lifecycle status to anyone), confidently states that nothing else is published, explains preview's no-write guarantee, and warns that unlisting does not un-share previously collected data. This is far richer than the annotations alone.

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 appropriately sized for a privacy-critical tool. Every sentence earns its place: purpose, identification modes, public-leak scope, precondition, human-consent rule, preview behavior, and unlisting nuance. The core purpose is front-loaded, and there is no filler or repetition of schema fields.

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?

Given the tool's complexity and the absence of an output schema, the description covers all essential contextual information: both call modes, the no-identifier fallback, the exact published fields, the prerequisite for pinning, the preview safety valve, and the limitation that unlisting does not retract previously collected data. An agent has everything it needs to decide and invoke correctly.

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?

Schema coverage is 100%, so the baseline is 3. The description adds important semantic context beyond the schema: it explains how projectId and project relate (use either one), what happens when neither is passed (result lists their projects and publishes nothing), and confirms preview=true writes nothing. This meaningfully clarifies parameter selection and fallback behavior.

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 dual-action verb phrase, 'Put a project on the public Bucky map, or take it off', naming the exact resource (public Bucky map) and operation (list/unlist). This clearly separates it from sibling tools like updateProject or saveToProject, which concern editing or saving rather than map visibility.

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 rich usage guidance: pass projectId or project name, the fallback behavior when neither is supplied, a hard prerequisite (build lot with centroid, so projects with only an address cannot be pinned), and the important ethical rule to ask the human before publishing a non-public site. It lacks explicit naming of alternative sibling tools, which is why it is not a 5.

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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