hires_list_company_id_mail_accounts
List mail accounts of all users in a given company (own or client).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| page | No | ||
| size | No |
List mail accounts of all users in a given company (own or client).
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| page | No | ||
| size | No |
Changes observed during successful MCP inspections.
Input schema / $schemaRemoved value: -"http://json-schema.org/draft-07/schema#"Input schema / additionalPropertiesRemoved value: -falseInput schema / properties / id / descriptionRemoved value: -"Company ID"Input schema / properties / page / descriptionRemoved value: -"Page number (default 1)"Input schema / properties / size / descriptionRemoved value: -"Page size (default 25)"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the safe read-only nature is covered. The description adds that it returns accounts for 'all users' in the company, which is a scoping detail. No further behavioral details (pagination, ordering, auth requirements) are disclosed, but the annotation coverage keeps this at a moderate score.
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 with no filler. It front-loads the core action and scope, making it easy to parse.
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?
With no output schema, the description should clarify what is returned. It doesn't mention pagination behavior for page/size, nor does it explain the 'own or client' distinction in terms of permissions or access. The tool is a list operation, so an agent would benefit from knowing the response structure, but that 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 0%, so the description must compensate. It implicitly explains the required 'id' parameter as the company identifier, but it does not mention the 'page' or 'size' parameters at all. Since only one of three parameters is addressed, the description adds limited value over the raw schema.
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 clear verb and resource: 'List mail accounts of all users in a given company'. It specifies scope (own or client) and the company dimension. However, it does not differentiate from the similarly named sibling 'hires_list_company_mail_accounts', which could cause ambiguity.
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 guidance is given on when to use this tool versus alternatives like hires_list_user_mail_accounts or hires_list_company_mail_accounts. The description simply states what it does without any selection criteria or exclusions.
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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