Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.
| 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, idempotentHint=true, and destructiveHint=false, so the safe read-only behavior is covered. The description adds useful context about what 'state' includes but does not go deeper into potential behavioral traits like latency or data freshness.
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?
One well-structured sentence communicates the core purpose and the specific output categories without waste. It is front-loaded and every clause adds information.
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 output schema, the description carries the full burden of explaining the return value, and it does so by listing the key dimensions: installed MCPs, connection status, connected accounts, and catalog tool counts. For a zero-parameter info tool, this is complete and unambiguous.
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, and the schema confirms an empty input object. The description appropriately avoids parameter details, and no further semantics are needed.
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 a specific verb ('Returns') and a clear resource ('current toolkit state') while enumerating exactly what is included. This makes it easy to distinguish from sibling tools like show_version or the individual openfinance_* list tools.
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 context is clear: use this tool when you need an overview of installed MCPs, connection status, and connected accounts. It does not explicitly mention alternatives or exclusions, but its purpose is distinct enough from sibling tools.
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 clearly separated by resource and action, and their detailed descriptions make most choices unambiguous. However, marketplace is a multi-action mega-tool that duplicates report_bug, and openfinance_list_transactions vs openfinance_list_transactions_by_item have some overlap that could cause misselection.
The 19 openfinance_* tools follow a consistent and predictable 'openfinance_<verb>_<noun>' pattern. The non-openfinance tools are a mixed set (marketplace, toolkit_info, show_version, report_bug, authenticate, connect), which is readable but not fully uniform.
25 tools lands right at the heavy end of the borderline range. The Open Finance domain genuinely has many distinct resources, but the marketplace tool alone packs in many sub-actions, which makes the total tool count feel more bloated than the domain strictly requires.
The surface covers the full Open Finance lifecycle well: connections, sync/disconnect, accounts, transactions, credit card bills, loans, investments, categories, provider health, and platform administration. Minor gaps exist, such as no direct connect/add-bank tool beyond returning a connect_url and no get-single-transaction endpoint, but agents can work around these.