box_get_userGet the signed-in Box (cloud storage) user's profile: id, name, login email, total storage space (space_amount in bytes), and used storage (space_used in bytes). Use to identify the connected account or report storage usage.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Input schema / examplesAdded value: +[
+ {}
+]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 known. The description adds value by specifying the exact output fields and that storage amounts are in bytes, providing expectations without contradicting the annotations.
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 exactly two sentences: the first states the action and output, the second gives practical use cases. There is no extraneous information, and the most important information is front-loaded.
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 parameters, a detailed output schema is absent, but the description compensates by listing the return fields and units. Combined with forceful annotations and simple scope, the tool is sufficiently contextualized for correct invocation.
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 has zero parameters, so there is nothing for the description to explain. The baseline score of 4 applies, and the description confirms the tool takes no input by not mentioning any arguments.
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 'Get' with the resource 'the signed-in Box user's profile' and enumerates exact fields (id, name, login email, storage space). This distinguishes it from sibling tools like box_get_file and box_list_folder, making the tool's purpose unambiguous.
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?
The description explicitly suggests two use cases: 'identify the connected account' and 'report storage usage.' While it does not mention when not to use this tool or name alternatives, the context is clear enough for an agent to select it appropriately.
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.
Most tools have distinct purposes, aided by detailed descriptions (e.g., ask_pipeworx vs. ask_pipeworx_grounded). However, some overlap exists among Pipeworx-based tools (compare_entities, entity_profile, recent_changes, validate_claim) that could cause confusion without careful reading.
Snake_case is used, but naming patterns are mixed: some start with verbs (ask_pipeworx, validate_claim), others with nouns or prefixes (box_get_file, entity_profile). This inconsistency makes it harder to predict tool names.
At 31 tools, the server covers an unusually broad set of domains (cloud storage, data queries, betting, memory, subscriptions). This is on the heavy side and could benefit from splitting into more focused servers.
Gaps exist: Box storage lacks create/update/delete, Polymarket tools offer analysis but no execution, and some data domains (e.g., weather) have only indirect coverage. The surface feels uneven across the wide scope.