MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token. Best: add it to this server's config as a header Authorization: Bearer <token> for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: "" } after the user pastes, or with no args to get the link.
| Name | Required | Description | Default |
|---|---|---|---|
| token | No |
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?
Discloses behavior: with no args returns a link, with token authenticates. Annotations indicate idempotent and non-destructive, which are consistent. Adds context about token handling beyond 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?
Single paragraph with efficient, front-loaded information. Every sentence serves a purpose: identity, usage methods, and parameter explanation. No fluff.
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?
Given no output schema, the description does not specify return values. However, the core usage is clearly covered. For a simple authentication tool with one optional parameter, it is largely complete.
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 has 0% description coverage, but the description fully explains the 'token' parameter: optional, used for session login. Also clarifies omitted token triggers link generation. Adds significant meaning 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?
The description clearly states the tool is for authentication in MCP.AI for IDE agents, distinguishing between permanent and session-based login. It provides specific verb+resource context and is distinct from sibling tools like 'connect'.
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?
Explicitly describes when to use each method: for permanent connection, add token to config; for session-only, paste as parameter. Also specifies calling with no args to get the link. No ambiguity.
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.
The openfinance_* family is well-decomposed by resource (accounts, transactions, bills, investments, loans, connections) and by action (list, get, update, sync, disconnect), and the highly detailed descriptions make each tool's boundaries clear. A few pairs can be confused at a glance (list_accounts vs. get_account_balance, list_transactions vs. list_transactions_by_item, connect vs. toolkit_info), but the semantics are ultimately distinguishable.
The openfinance_* group follows a strong and consistent verb_noun pattern (list_transactions, get_item_status, force_sync). However, the platform-level tools are a mixed bag—authenticate, connect, marketplace, toolkit_info, show_version, report_bug—so there is no single predictable naming scheme across the whole server.
At 25 tools, the server is at the heavy/borderline boundary, though most of the surface area is genuinely needed for Open Finance reads and connection lifecycle management. Some functions overlap (list_accounts returns balances that get_account_balance also exposes), making the set feel slightly bloated and closer to a two-in-one platform (Open Finance + marketplace).
The server covers the full Open Finance discovery and connectivity lifecycle: search, reconnect, force sync, provider health, accounts, transactions, credit cards, investments, loans, and category correction. Gaps like initiating a new connection or executing financial movements are handled through connect URLs rather than direct tools, so the unavoidable dead-end is likely workable and the core read/aggregate domain is well covered.