Get current LMGram profile
get_current_userReturns the LMGram profile linked to the connected account.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_current_userReturns the LMGram profile linked to the connected account.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description does not need to repeat these. The description adds the context 'linked to the connected account', which is helpful but does not disclose further behavioral traits (e.g., no mention of authentication requirements 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?
The description is a single, concise sentence with no wasted words. It is front-loaded and clearly communicates the tool's purpose.
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?
The tool has no output schema, and the description does not mention return value contents (e.g., fields like name, email, id). For a simple profile retrieval, this may be sufficient, but the description could be slightly richer to prepare the agent for the response structure.
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?
There are no parameters, and schema description coverage is 100% (trivially). The description does not need to add parameter semantics. Baseline 4 is appropriate as the schema already fully covers the absence of parameters.
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 'Returns the LMGram profile linked to the connected account' clearly states the verb (returns) and resource (LMGram profile). The tool is distinct from siblings which deal with matching, messages, and chat, leaving no 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?
The description implies use when the connected account's profile is needed. No explicit exclusions or alternatives are given, but the context of siblings (list_match_requests, etc.) makes usage clear. A perfect score would require explicit when-to-use or when-not-to-use guidance.
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.
Each tool targets a distinct resource and action: user profile, match requests, messages, sending, and chat initiation. There is no meaningful overlap between any two tools, and their purposes are clearly separable.
All tool names follow a consistent verb_noun pattern (e.g., get_current_user, list_messages, send_message). The naming style is uniform and predictable, making it easy to infer tool behavior from the name.
Six tools is well within the ideal range for a focused messaging and matchmaking server. Each tool serves a clear and necessary function without redundancy, and the count feels appropriately scoped.
The core workflow is covered: viewing user, listing/requesting matches, starting chats, and messaging. Minor gaps exist such as lack of a single match detail view or explicit match acceptance, but the main lifecycle is sound and workable.