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API-retrieve-a-database

Retrieve data from a Notion database using its unique identifier. Enables AI agents to access and manage database content through the Notion API for streamlined workspace integration.

Instructions

Notion | Retrieve a database

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
database_idYesAn identifier for the Notion database.

Implementation Reference

  • Generic handler for all MCP tools, including "API-retrieve-a-database". It resolves the tool name to an OpenAPI operation and executes it using the HttpClient.
    this.server.setRequestHandler(CallToolRequestSchema, async (request) => {
      const { name, arguments: params } = request.params
    
      // Find the operation in OpenAPI spec
      const operation = this.findOperation(name)
      if (!operation) {
        throw new Error(`Method ${name} not found`)
      }
    
      try {
        // Execute the operation
        const response = await this.httpClient.executeOperation(operation, params)
    
        // Convert response to MCP format
        return {
          content: [
            {
              type: 'text', // currently this is the only type that seems to be used by mcp server
              text: JSON.stringify(response.data), // TODO: pass through the http status code text?
            },
          ],
        }
      } catch (error) {
        console.error('Error in tool call', error)
        if (error instanceof HttpClientError) {
          console.error('HttpClientError encountered, returning structured error', error)
          const data = error.data?.response?.data ?? error.data ?? {}
          return {
            content: [
              {
                type: 'text',
                text: JSON.stringify({
                  status: 'error', // TODO: get this from http status code?
                  ...(typeof data === 'object' ? data : { data: data }),
                }),
              },
            ],
          }
        }
        throw error
      }
    })
  • Registers dynamic tools from OpenAPI spec, constructing names like "API-retrieve-a-database" from operationIds and including them in the tools list.
    this.server.setRequestHandler(ListToolsRequestSchema, async () => {
      const tools: Tool[] = []
    
      // Add methods as separate tools to match the MCP format
      Object.entries(this.tools).forEach(([toolName, def]) => {
        def.methods.forEach(method => {
          const toolNameWithMethod = `${toolName}-${method.name}`;
          const truncatedToolName = this.truncateToolName(toolNameWithMethod);
          tools.push({
            name: truncatedToolName,
            description: method.description,
            inputSchema: method.inputSchema as Tool['inputSchema'],
          })
        })
      })
    
      return { tools }
    })
  • Initializes the tools map and lookup for OpenAPI operations to MCP tools, enabling the dynamic tool "API-retrieve-a-database".
    const converter = new OpenAPIToMCPConverter(openApiSpec)
    const { tools, openApiLookup } = converter.convertToMCPTools()
    this.tools = tools
    this.openApiLookup = openApiLookup
  • Converts OpenAPI document to MCP tools definitions, grouping under 'API' and naming tools as 'API-{operationId}', generating input schemas for tools like "API-retrieve-a-database".
    convertToMCPTools(): {
      tools: Record<string, { methods: NewToolMethod[] }>
      openApiLookup: Record<string, OpenAPIV3.OperationObject & { method: string; path: string }>
      zip: Record<string, { openApi: OpenAPIV3.OperationObject & { method: string; path: string }; mcp: NewToolMethod }>
    } {
      const apiName = 'API'
    
      const openApiLookup: Record<string, OpenAPIV3.OperationObject & { method: string; path: string }> = {}
      const tools: Record<string, { methods: NewToolMethod[] }> = {
        [apiName]: { methods: [] },
      }
      const zip: Record<string, { openApi: OpenAPIV3.OperationObject & { method: string; path: string }; mcp: NewToolMethod }> = {}
      for (const [path, pathItem] of Object.entries(this.openApiSpec.paths || {})) {
        if (!pathItem) continue
    
        for (const [method, operation] of Object.entries(pathItem)) {
          if (!this.isOperation(method, operation)) continue
    
          const mcpMethod = this.convertOperationToMCPMethod(operation, method, path)
          if (mcpMethod) {
            const uniqueName = this.ensureUniqueName(mcpMethod.name)
            mcpMethod.name = uniqueName
            mcpMethod.description = this.getDescription(operation.summary || operation.description || '')
            tools[apiName]!.methods.push(mcpMethod)
            openApiLookup[apiName + '-' + uniqueName] = { ...operation, method, path }
            zip[apiName + '-' + uniqueName] = { openApi: { ...operation, method, path }, mcp: mcpMethod }
          }
        }
      }
    
      return { tools, openApiLookup, zip }
    }
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states 'Retrieve' implying a read operation, but doesn't disclose behavioral traits such as authentication needs, rate limits, error handling, or what data is returned (e.g., structure, fields). This leaves significant gaps for a tool with no annotation coverage.

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 extremely concise with just three words, front-loaded with the platform and action. There's zero waste, making it efficient for quick understanding, though it may lack depth.

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

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations, no output schema, and a simple input schema, the description is incomplete. It doesn't explain what 'retrieve' entails (e.g., returns metadata, properties, or full content), making it inadequate for a tool that likely returns complex database structures.

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%, with the single parameter 'database_id' documented as 'An identifier for the Notion database.' The description adds no additional meaning beyond this, so it meets the baseline of 3 where the schema does the heavy lifting.

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

Purpose4/5

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

The description 'Notion | Retrieve a database' clearly states the action (retrieve) and resource (a database), and specifies the platform (Notion). However, it doesn't differentiate from sibling tools like 'API-retrieve-a-block' or 'API-retrieve-a-page' beyond the resource type, missing explicit sibling distinction.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a database ID), exclusions, or comparisons to siblings like 'API-post-database-query' for querying databases or 'API-retrieve-a-page' for pages.

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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