list_campaigns
List MailerCloud campaigns with pagination. Returns campaign names, IDs, subjects, statuses, and performance metrics.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | Page number | |
| limit | No | Number of campaigns to return (min 10) |
List MailerCloud campaigns with pagination. Returns campaign names, IDs, subjects, statuses, and performance metrics.
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | Page number | |
| limit | No | Number of campaigns to return (min 10) |
Changes observed during successful MCP inspections.
Input schema / properties / api_keyRemoved value: -{
- "description": "MailerCloud API key",
- "type": "string"
-}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds meaningful behavioral context beyond that: it discloses pagination and enumerates the return fields (names, IDs, subjects, statuses, performance metrics). It stops short of stating default page size, ordering, or rate limits.
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?
Two sentences, front-loaded with the operation and scope, followed by a compact return-value summary. Every sentence adds information and there is no filler.
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 list tool with full schema coverage and rich annotations, the description covers purpose, pagination behavior, and return contents. No output schema exists, so the return-field summary in the description compensates; nothing essential for correct invocation is missing.
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 both parameters (page, limit) are already documented in the schema, including the minimum limit of 10. The description mentions pagination but adds no syntax, defaults, or format details beyond what the schema provides, so the baseline 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 states a specific verb and resource ('List MailerCloud campaigns') and adds scope ('with pagination'), so an agent knows this is a paginated list operation. It does not explicitly distinguish itself from siblings like get_campaign or analyze_campaign, which keeps it from a 5.
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?
Pagination implies this is for enumerating campaigns, but the description gives no explicit when-to-use or when-not-to-use guidance relative to get_campaign, analyze_campaign, or compare_campaigns. Usage is only implied by the verb 'List'.
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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