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?
The description adds context beyond annotations: idempotentHint is true, and description explains that calling with no args returns a link, while providing token completes login. No contradiction with 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 informative and well-structured, though slightly verbose. Every sentence earns its place, but could be trimmed slightly for conciseness.
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?
Despite no output schema, the description covers the authentication flow completely: two login methods, how to call each, and what to expect. Sufficient for a simple parameter tool.
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% coverage but description fully explains the single parameter 'token': 'call with { token: '<jwt>' } after the user pastes, or with no args to get the link.' Adds essential meaning.
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 handles authentication for MCP.AI IDE agents, describing two distinct login methods: permanent via config and session-only via token. This distinguishes it 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 guides when to use each method: 'add it to this server's config... for a permanent, non-expiring connection' or 'paste it here for a session-only login'. Also specifies calling with or without the token parameter.
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_* tools are mostly separated by resource (accounts, bills, loans, investments, connections), and the meta tools are distinct. The main ambiguities are openfinance_list_transactions vs openfinance_list_transactions_by_item, and openfinance_get_credit_card_bill vs openfinance_list_credit_card_bills, though their descriptions do clarify different intents.
The openfinance_* family follows a consistent verb_noun pattern, and the generic platform tools use bare lowercase names like connect, authenticate, and marketplace. The mixed prefixes and the occasional singular/plural variation (get_credit_card_bill vs list_credit_card_bills) make the overall namespace readable but not fully uniform.
25 tools is at the heavy end and combines two distinct areas: platform/meta tooling and a deep Open Finance adapter. Most openfinance tools are justifed by real endpoints, but the count feels bulky for an agent to browse, and the marketplace tool packs an unusually large number of capabilities into a single entry.
The Open Finance surface is unusually complete: accounts, balances, transactions, credit-card bills, loans, investments, connection status, force sync, provider status, category correction, and disconnect are all present. The platform side is also broad via marketplace and toolkit_info, with only minor granularity gaps such as no dedicated get-single-transaction tool or separate marketplace sub-tools.