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update_survey_summary_block

Update survey summary blocks in Notion by providing page IDs and content to maintain current research data for review and analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
page_idYes
bodyYes

Implementation Reference

  • The main handler function for the "update_survey_summary_block" tool. It finds or creates the first code block captioned 'AI Generated' in the Notion page and updates its markdown content with the provided body.
    @mcp.tool()
    def update_survey_summary_block(page_id: str, body: str):
        code_block = get_first_code_block(page_id)
        notion.blocks.update(code_block["id"], code={
            "rich_text": [{
                "type": "text",
                "text": {
                    "content": body,
                }
            }],
            "language": "markdown"
        })
        return f"Survey page body of {page_id} updated"
  • Supporting helper function that retrieves the first 'AI Generated' code block from a Notion page's children or creates and appends an empty one if none exists. Called by the tool handler.
    def get_first_code_block(block_id: str):
        children = notion.blocks.children.list(block_id)
        for child in children["results"]:
            if child["type"] == "code":
                captions = child["code"]["caption"]
                for caption in captions:
                    if caption["plain_text"] == "AI Generated":
                        return child
    
        empty_code_block = {
            "object": "block",
            "type": "code",
            "code": {
                "caption": [
                    {
                        "type": "text",
                        "text": {
                            "content": "AI Generated",
                        },
                    }
                ],
                "rich_text": [{
                    "type": "text",
                    "text": {
                        "content": "",
                    }
                }],
                "language": "markdown"
            }
        }
        ret = notion.blocks.children.append(block_id, children=[empty_code_block])
    
        return ret["results"][0]
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Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

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Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

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Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

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Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

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

Usage Guidelines1/5

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

Tool has no description.

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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