subscription_actions-pause
Pause a subscription action
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| actionId | Yes | The action ID to pause | |
| subscriptionId | Yes | The subscription that owns the action |
Pause a subscription action
| Name | Required | Description | Default |
|---|---|---|---|
| actionId | Yes | The action ID to pause | |
| subscriptionId | Yes | The subscription that owns the action |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds no behavioral context beyond what annotations already provide. It does not state whether pausing is reversible, what happens to pending executions, or any side effects. Since annotations already signal a non-read-only, non-destructive mutation, the description offers no additional 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, concise sentence that directly states the action. There is no waste or redundancy.
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?
Despite simple parameters and annotations, the description is too sparse. It lacks information about the effects of pausing, state requirements, error conditions, or behavior upon resume. The tool is more than a read-only operation, so more context is needed for an agent to use it correctly.
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?
The input schema fully describes both required parameters (subscriptionId and actionId) with detailed patterns and descriptions. The tool description itself adds no parameter semantics, but with 100% schema coverage, the baseline of 3 is appropriate.
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 uses the specific verb 'pause' with the resource 'subscription action', clearly indicating the operation. It distinguishes from sibling tools like 'subscription_actions-unpause' and 'subscription_actions-update' by naming a distinct action.
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 usage guidance is provided. The description does not explain when to pause an action, any prerequisites (e.g., action must be active), or suggest alternatives like unpause or update. Sibling tools are present but not referenced.
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.
Many tools have overlapping purposes, such as signals-firmographics vs companies-enrich_firmographics, findEmail vs contacts-enrich_work_email, and monitors vs signal_subscriptions vs market_signals. While descriptions add some context, an agent could easily select the wrong tool due to the high similarity in function.
Most tools use a resource_subresource-action pattern, but there are inconsistent separators: underscores within some names, hyphens in others (e.g., scoring-assignment-bulk-create), and several camelCase exceptions (findEmail, findEmailBatchGet, getContactResearchByExternalID). This mixed convention makes the tool set feel unpredictable.
With 119 tools, this server vastly exceeds the typical well-scoped range. Even for a comprehensive B2B data platform, the sheer number creates cognitive overload and increases the risk of incorrect tool selection.
The server covers an extensive range of operations: enrichment, lists, contacts, signals, subscriptions, monitors, and scoring. Nearly every resource has create, read, update, and delete or lifecycle equivalents, leaving very few practical gaps for the intended use case.