notes_batch_read
Read multiple HubSpot CRM notes simultaneously to retrieve properties and associations in a single efficient request.
Instructions
Read multiple notes in a single request
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| inputs | Yes |
Read multiple HubSpot CRM notes simultaneously to retrieve properties and associations in a single efficient request.
Read multiple notes in a single request
| Name | Required | Description | Default |
|---|---|---|---|
| inputs | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden but only states it's a read operation. It doesn't disclose behavioral traits like whether it's safe (non-destructive), what permissions are required, rate limits, error handling for invalid IDs, or the format/scope of returned data. 'Read' implies non-destructive, but this isn't explicitly confirmed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero waste. It's front-loaded with the core purpose and appropriately sized for a simple tool, though it could benefit from additional context.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a batch read tool with 1 parameter (a complex array structure), 0% schema description coverage, no annotations, and no output schema, the description is incomplete. It doesn't explain the parameter structure, return values, error conditions, or usage context, leaving significant gaps for an AI agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate but provides no parameter information. It doesn't explain what 'inputs' contains (array of note IDs with optional properties/associations), what 'properties' or 'associations' mean, or how to structure requests. The description adds no meaning beyond the bare schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Read multiple notes') and resource ('notes'), specifying it's a batch operation ('in a single request'). It distinguishes from individual read operations like 'notes_get' but doesn't explicitly differentiate from other batch operations like 'notes_batch_archive' or 'notes_batch_update'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like 'notes_get' (for single notes) or 'notes_list' (for listing all notes). The description implies batch reading but doesn't specify scenarios where batch reading is preferred over individual reads.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Createitv/hubspot-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server