get_user_push_token
Get a specific push/device token for a user.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| token | Yes | The token identifier | |
| user_id | Yes | The user ID |
Get a specific push/device token for a user.
| Name | Required | Description | Default |
|---|---|---|---|
| token | Yes | The token identifier | |
| user_id | Yes | The user ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
readOnlyHint=true already declares the operation safe, and 'Get' is consistent with that. The description adds no behavioral details beyond that, such as what happens if the token is not found, whether the token value is returned, or any auth requirements, so it provides only modest value over the annotation.
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?
One short sentence front-loads the core purpose with no filler. It is appropriately sized for a simple getter, though it does not enrich the definition with any usage or behavior 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 simple two-parameter read-only getter with fully documented schema properties and readOnlyHint, the description is largely sufficient: it names the resource, scope, and required granularity. It could be more complete by clarifying the return shape or how this differs from listing tokens, but those gaps are minor given the low complexity.
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%, so the schema already documents both user_id and token. The description does not add any meaning, format, or relationship between token and user beyond what the schema provides, so the baseline 3 applies.
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?
States a clear verb ('Get') and resource ('specific push/device token') scoped to a user. The qualifier 'specific' hints at the singular nature and helps distinguish it from list_user_push_tokens, though no sibling is named.
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 word 'specific' implies this tool is for retrieving one token rather than enumerating all tokens, and the sibling list_user_push_tokens provides an implicit contrast. There is no explicit when-to-use guidance or mention of alternatives, so the guidance is only implied.
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.
Tools are mostly organized as distinct resource/action pairs, but several clusters are easy to confuse: list subscription tools (add_subscribers_to_list vs bulk_subscribe_to_list vs subscribe_user_to_list), message vs message-content vs message-history retrieval, and the many journey/journey-template list/get tools. Detailed descriptions rescue most selections, but the sheer number of near-identical verb/resource names creates real misselection risk.
Almost all tools follow a snake_case verb_noun pattern (create_, get_, list_, replace_, send_, publish_, archive_). Minor deviations keep it from a perfect score: courier_installation_guide is noun-first, and add_bulk_users sits awkwardly next to the bulk_add_* family, but the overall convention is predictable and readable.
144 tools is an extreme working-set size for an agent to hold and choose from, far beyond the reasonable 3–15 range. Even for a broad platform like Courier, this should be split into focused sub-servers (templates, journeys, users, lists, preferences, etc.) to remain usable.
The surface is remarkably comprehensive, covering sending, templates, journeys, automations, users, tenants, lists, preferences, providers, routing, brands, audiences, translations, digests, bulk jobs, and audit events. Notable gaps exist—automation template CRUD and digest schedule management are missing—but most workflows can still be completed with workarounds.