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Update clueprint

update_clueprint
Destructive

Update a clueprint's metadata and/or file contents in one call.

Metadata fields (name, description, tags, visibility, thumbnail_path) are applied as a patch — only the fields you pass change. Pass at least one to update metadata.

files is a list of file mutations:

  • Write text: { path, content }

  • Write binary: { path, content, encoding: "base64" }

  • Write from URL: { path, source_url } (presigned URL, e.g. from get_clip with save=true)

  • Delete: { path, content: null }

You can mix writes and deletes in a single call. Existing files at the same path are overwritten.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoNew name.
tagsNoNew tags (replaces existing).
filesNoFile mutations — writes and deletes. Empty/omitted for metadata-only updates.
visibilityNoNew visibility.
descriptionNoNew description.
clueprint_idYesID of the clueprint to update.
thumbnail_pathNoRelative path of a screenshot in the clueprint to use as thumbnail (e.g. 'screenshots/title-slide.png').

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • removedInput schema / properties / context
      Removed value: -{
      -  "description": "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.\"",
      -  "type": "string"
      -}
    • removedInput schema / properties / conversation_id
      Removed 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"
      -}
    • removedInput schema / properties / llm_model
      Removed 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: -[
      -  "clueprint_id",
      -  "context",
      -  "llm_model"
      -]New value: +[
      +  "clueprint_id"
      +]
  2. Changed4 schema fields changed
    • addedInput schema / properties / context
      Added value: +{
      +  "description": "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.\"",
      +  "type": "string"
      +}
    • 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: -[
      -  "clueprint_id"
      -]New value: +[
      +  "clueprint_id",
      +  "context",
      +  "llm_model"
      +]
  3. Changed3 schema fields changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • removedInput schema / additionalProperties
      Removed value: -false
    • removedInput schema / properties / files / items / additionalProperties
      Removed value: -false
  4. First observed

TDQS

A4.7/5.0
Behavior5/5

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

The description goes well beyond the annotations by explaining patch semantics ('only the fields you pass change'), overwrite behavior ('Existing files at the same path are overwritten'), and deletion via content: null. These behavioral details are not expressed in the annotations or schema 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 organized into scannable paragraphs and bullet lists, with every sentence carrying operational value. The file mutation formats and overwrite/delete caveats are presented efficiently and front-loaded enough to prevent misuse.

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 sufficiently covers metadata patch semantics, all file mutation patterns, URL handling, and overwrite/delete behavior for correct invocation. It does not mention the response/return value or what happens if neither metadata nor files are provided, but these are minor gaps given the detailed schema and no output schema.

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?

Although schema coverage is 100%, the description adds operation-level meaning by defining four file mutation shapes: text, binary, URL, and delete. It also clarifies when to use source_url vs inline content and how metadata fields behave as a patch, which the bare schema descriptions do not convey.

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 'Update a clueprint's metadata and/or file contents in one call,' which clearly states the verb, resource, and scope. This distinguishes it from create_clueprint and get_clueprint by naming both metadata and file-content mutation.

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 concrete usage context, such as using a presigned URL from get_clip with save=true and preferring source_url for large/binary files. It doesn't explicitly state when not to use the tool or name alternative update tools, so it stops short of full when/when-not guidance.

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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