getMe
Verify the token: app id, name, webhook config, token scopes.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Verify the token: app id, name, webhook config, token scopes.
| 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 declare readOnlyHint=true and destructiveHint=false. The description adds the response contents (app id, name, webhook config, token scopes), which is useful context beyond the read-only flag. However, it does not mention error behavior for invalid/expired tokens or any rate-limit/auth requirements.
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?
A single, front-loaded sentence that states the action and the exact fields involved. No filler or repetition; every word contributes to the agent's understanding.
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 no-parameter, read-only tool without an output schema, the description sufficiently covers purpose and response content. It could add the structure of the webhook config or scopes, but nothing essential is missing for invoking the tool correctly.
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 tool has zero parameters, so the input schema is empty. Per the baseline for zero-parameter tools, the description does not need to add parameter semantics, and there is nothing to compensate for.
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 names a specific verb ('Verify') and a clear resource ('the token'), then enumerates the returned/checked fields: app id, name, webhook config, token scopes. This makes its purpose unambiguous and distinguishes it from siblings like getBalance or getInvoices.
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 when to use it (to verify a token and inspect its scopes/config), but it does not explicitly state exclusions or alternatives such as connect or connect_status. It is minimally serviceable but leaves routing to inference.
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 maps to a distinct resource or action: invoices, subscription plans, subscriptions, checks, transfers, balance, rates, and auth flows. The two-step connect/connect_status pair is clearly separated into initiate and poll, and similar actions like archiveSubscriptionPlan versus cancelSubscription are explicitly differentiated.
The vast majority of tools follow a camelCase verb_noun pattern such as createInvoice, getSubscriptions, and refundInvoice. The exceptions are connect_status and get_docs, which use snake_case, creating a minor but noticeable inconsistency.
At 21 tools, the server is on the heavier side but the breadth of a merchant payment API justifies it: auth, invoices, subscriptions, transfers/checks, balances, exchange rates, stats, webhooks, and docs all need coverage. No tools feel redundant, though a few list-only endpoints could arguably be consolidated.
Core invoice and subscription lifecycles are well covered: create, list, delete, archive, cancel, and refund. However, there is no visible createTransfer or createCheck tool even though the API includes transfers/checks docs and deleteCheck/getTransfers, leaving a notable dead end for initiating transfers.