List users
hdphotohub_list_usersList clients and team members, optionally filtered by email or name. API: GET /users.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | Filter by name. | |
| No | Filter by email address. |
hdphotohub_list_usersList clients and team members, optionally filtered by email or name. API: GET /users.
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | Filter by name. | |
| No | Filter by email address. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
readOnlyHint=true already signals a safe read; the description adds the underlying GET /users endpoint and that results span both clients and team members, which is useful. It does not cover pagination, ordering, or empty-result behavior, so added value beyond annotations is modest.
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 compact sentences, with purpose and filter behavior front-loaded and no wasted wording.
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-optional-param read tool with annotations covering safety and no output schema, the definition is nearly sufficient. Only return-shape/pagination hints are absent, a minor gap.
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 filters are fully documented in the schema. The description only restates that the same two fields are optional filters, adding no format or matching semantics (e.g., partial vs exact) beyond the 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?
States a specific verb (list) plus the resource (clients and team members/users), and the API endpoint GET /users confirms it. It clearly differs from get_user, though it doesn't explicitly name that sibling as the single-record alternative.
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?
Notes that filtering by email or name is optional, which gives basic usage context. It does not say when to prefer this over get_user or list_user_transactions, nor any 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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