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Prefeitura SP São Paulo: Certidão Tributária de IPTU

authenticate

Idempotent

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.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

It explains the browser-based login flow, the difference between a permanent config token and a session-only pasted token, and what happens when called with no arguments. This adds practical behavioral context beyond the sparse annotations, though it doesn't mention token lifecycle, errors, or what happens after the token page link is obtained.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and logically structured: browser login first, then permanent-config best practice, then session-only token option. The first sentence is slightly awkward and 'MCP.AI' adds little clarity, but the rest is front-loaded and useful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter optional tool with no output schema and few annotations, the description covers the main workflow: browser login, permanent config, session token, and no-args behavior. It doesn't describe output/response details or error cases, but the tool's behavior is reasonably complete for an agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has a bare optional 'token' property with no description, but the description compensates by explicitly saying to call with { token: '<jwt>' } after the user pastes it, or with no args to get the login link. It provides enough meaning beyond the schema, although it could specify the JWT format or expectations more precisely.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

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: the user logs in via the browser and supplies/copies an access token. The verb is specific (log in, authenticate) and the resource is the server/IDE connection. It doesn't explicitly distinguish itself from the sibling 'connect' tool, so it doesn't reach a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear usage guidance: add the token to the server config for a permanent connection, or pass it as a session-only token; call with no args to get the link. It does not mention when not to use this tool or note the alternative 'connect' tool, so it lacks explicit exclusions/alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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