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?
Beyond the annotations, the description discloses persistence behavior: config-based tokens are permanent and non-expiring, while passed tokens are session-only. It also clarifies that calling with no arguments yields a link rather than performing an action. This adds meaningful behavioral context without contradicting the idempotent and non-destructive hints.
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 compact and front-loaded, immediately stating the tool's purpose and audience. Every sentence provides actionable guidance, and the two authentication paths are clearly separated without unnecessary elaboration.
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 single-optional-parameter auth tool with no output schema, the description covers the main scenarios: permanent config-based auth, session-only token auth, and no-arg link retrieval. It does not describe the exact response format of the no-arg call, but given the simplicity and the annotations, the coverage is adequate.
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 input schema only defines token as an optional string with no description, so the description carries the full semantic burden. It explains that the token should be a JWT pasted by the user and that omitting it returns the login link. This meaningfully compensates for the schema's lack of detail, though it does not explain JWT structure or validation.
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 IDE-agent authentication: log in via browser, obtain an access token, and either configure it permanently or pass it for a session. The verb 'authenticate' plus the concrete login flow makes the purpose evident, though it does not explicitly contrast with the sibling 'connect' tool.
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 gives explicit usage guidance: use the server config header for a permanent, non-expiring connection, or call with { token } for session-only login, or call with no args to get the login link. It clearly distinguishes between the recommended long-term setup and the temporary paste-in path.
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 16 calculation tools are each tied to a distinct legal scenario (rent, criminal sentencing, FGTS, labor severance, etc.), so misselection is unlikely. However, the platform meta-tools overlap: connect, toolkit_info, and authenticate all deal with connection/auth state, and marketplace's list_tools/describe overlaps with toolkit_info.
The legal calculators use a consistent calculo_<domain> prefix, which is highly predictable. But the six meta-tools use standalone English names (connect, marketplace, report_bug) and the prefix itself mixes nouns (calculo_aluguel) with a verb (calculo_atualizar), so the overall convention is not uniform.
22 tools is on the heavy side for a server claiming to be about 'juros e multa', especially since six tools are unrelated platform administration features. The 16 legal calculators are arguably well-scoped, but the meta-tool wrapper inflates the count and blurs the server's purpose.
The legal calculation surface is unusually broad: civil, criminal, labor, social security, banking, and family law are all represented, and the calculo_atualizar tool provides the generic debt-update/interest/fee calculation implied by the server name. Minor gaps exist—there is no dedicated simple-interest-only calculator or court-fees/custas calculator—but no obvious dead-end workflows remain.