Get note
twenty_get_noteGet a single note by id. Twenty REST: GET /rest/notes/{id}.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The note id. | |
| depth | No | How deep to hydrate related records: 0, 1, or 2. |
twenty_get_noteGet a single note by id. Twenty REST: GET /rest/notes/{id}.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The note id. | |
| depth | No | How deep to hydrate related records: 0, 1, or 2. |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, so the safety profile is known. The description adds the REST endpoint (GET /rest/notes/{id}) which aligns with the read-only nature, but does not disclose additional behavioral traits like error handling or authorization. With the annotation present, this is adequate baseline transparency.
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 sentence that immediately conveys the core purpose, followed by the REST endpoint. It is front-loaded and every word contributes value.
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 simple read-only get-by-id tool, the description, combined with strong schema and annotations, provides sufficient context. It does not mention the depth parameter or error behavior, but those are either in the schema or low-risk for this operation. A slightly richer description might mention return format, but it's not critical.
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 100% for both parameters (id and depth), so the schema fully documents them. The description adds no extra parameter context, but the baseline for high schema coverage is 3.
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 verb (Get), the resource (note), and the scope (by id). It is specific and distinguishable from sibling get tools for other entities. The REST endpoint reinforces the exact operation.
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?
The phrase 'Get a single note by id' clearly indicates when to use this tool (when you have a note id). It does not explicitly mention alternatives or exclusions, but the purpose is straightforward and the sibling list tools imply the distinction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool follows a clear action-entity pattern, so there is no overlap; even the metadata listing is distinct from record operations. No two tools could be confused.
All tools use the twenty_<verb>_<entity> convention with verbs create/get/list/update, in lowercase snake_case. Naming is perfectly consistent across the set.
20 tools is slightly above the typical well-scoped range but justified by five core entities each needing create/get/list/update. However, the count feels a bit heavy, especially without delete tools.
The server covers create, read, and list for all entities, and update for most, but lacks delete operations entirely and does not support updating notes. These are notable gaps in full lifecycle management.