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patch_user_token

Apply a JSON Patch (RFC 6902) to a specific push token.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patchYesArray of JSON Patch operations
tokenYesThe token identifier
user_idYesThe user ID

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already mark the operation as non-read-only, non-idempotent, and non-destructive; the description does not contradict that. It adds the RFC 6902 semantics of applying a sequence of patch operations, but it does not disclose failure behavior, whether a missing token is created, or how the patch is applied.

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 a single front-loaded sentence with no redundant words or filler. It puts the operation first and the target second, making it easy to scan.

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

Completeness4/5

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

For a three-parameter patching tool with full schema coverage and annotations covering mutation behavior, the description covers the operation and target adequately. There is no output schema, so return-value documentation is not required; a one-line statement of the patch semantics is enough for correct invocation.

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?

All three parameters are already fully described in the schema (user_id, token, and patch operations), so the description carries little parameter burden. It confirms that the patch targets a token identified by the user/token pair but adds no syntax or format details beyond the schema. Baseline 3 applies.

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 states a concrete action ('Apply a JSON Patch') and a precise resource ('a specific push token'), also naming the RFC 6902 standard. This distinguishes it from sibling token tools such as create_or_replace_user_push_token, delete_user_token, and list_user_push_tokens, though it does not name them explicitly.

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?

There is no guidance about when to use this tool instead of create_or_replace_user_push_token or delete_user_token, and no prerequisites are mentioned. The word 'specific' only weakly implies an existing token; an agent could still misselect between full replacement and partial patch.

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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TDQS

B3.1/5.0
Disambiguation3/5

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.

Naming Consistency4/5

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.

Tool Count1/5

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.

Completeness4/5

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.