Returns connection status and URLs. When all providers are connected, returns authenticated:true and empty pending[]. When credentials are missing, returns connect_url for the toolkit and per-install URLs.
| 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 cover read-only, idempotent, non-destructive behavior. The description adds value by disclosing conditional outcomes: `authenticated:true` with empty `pending[]` versus returning `connect_url` when credentials are missing. This goes beyond the annotation hints without contradicting them.
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 two sentences with no filler. The first sentence front-loads the core purpose, and the second adds meaningful conditional detail about the two relevant states.
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 burden of explaining return values, and it covers both main cases: all providers connected and credentials missing. It could elaborate on the meaning of `pending[]`, but the essentials are present for a simple status 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?
The tool has zero parameters, so the baseline of 4 applies. The description appropriately focuses on behavior and return values instead of parameter details, which is correct given the empty input 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 opens with a specific verb and object ('Returns connection status and URLs'), clearly identifying the tool's resource and output. It also implicitly distinguishes itself from sibling `authenticate` by describing a passive status check rather than an action.
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 conveys when the tool reports connected vs. missing-credential states, but does not explicitly say 'use this to check connection status' or contrast it with alternatives like `authenticate`. Usage is implied by the tool's purpose, but no explicit when/when-not guidance is provided.
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 tiny_* tools are clearly distinct by resource and action, but the generic platform tools blur together: marketplace also handles report_bug, install/uninstall, token/connect links, and toolkit state, overlapping with authenticate, connect, report_bug, and toolkit_info. An agent could easily call marketplace for something a dedicated tool already covers, or confuse connect with authenticate.
The Tiny ERP tools follow a clean verb_noun pattern (tiny_list_orders, tiny_get_product, tiny_create_contact), but the platform tools use short unprefixed verbs (authenticate, connect, marketplace, report_bug, show_version, toolkit_info). Two internally consistent naming schemes coexist, so the overall set feels mixed rather than chaotic.
At 20 tools, the count is borderline heavy and mixes two distinct concerns: Tiny ERP operations and mcp.ai platform administration. The ERP tools are each reasonably scoped, but the generic tools could likely be consolidated, especially marketplace, which already absorbs several capabilities.
The ERP surface is heavily read-oriented: contacts, orders, invoices, products, payables, and receivables all support list/get, but only contacts have a create operation. There are no update/delete operations for any entity and no way to create orders, invoices, or products, which creates significant dead ends for real business workflows.