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Certidão de Quitação Eleitoral (TSE)

marketplace

The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like "find an MCP that does X", "consulta um CPF", "is there a tool for Y". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/ link that opens without login.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryNo
actionNosearch
mcp_idNo
messageNo
tool_idNo
argumentsNo{}
immediateNo
tier_slugNo
prompt_bodyNo
prompt_slugNo
prompt_toolNo
prompt_varsNo{}
conversationNo[]
prompt_titleNo
request_nameNo
cancel_reasonNo
cancel_commentNo
prompt_targetsNo
report_contextNo
prompt_categoryNo
request_detailsNo
prompt_descriptionNo

Schema Changelog

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

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Goes beyond annotations by detailing the one-off invoke behavior, the connect/checkout links for missing credentials/wallet, and the fact that writes require admin. Aligns with readOnlyHint=false and does not contradict destructiveHint=false.

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

Conciseness3/5

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

The description is one long, dense paragraph that front-loads the main purpose but is hard to scan. It packs valuable information, but a structured format with bullets or sections would significantly improve readability.

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?

The description covers an impressive amount of context: the full action set, credential and payment edge cases, permission requirements, and the prompt library. It provides some return-value hints (e.g., describe's profile, publish_prompt's link), but without an output schema, not all action responses are specified.

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?

With 0% schema descriptions, the description explains key parameters like action values, mcp_id, tool_id, arguments, prompt_vars, and prompt_slug through the workflow. However, many optional parameters (limit, query, immediate, tier_slug, conversation, etc.) remain undefined, so it doesn't fully compensate for the schema's silence.

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

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them,' giving a clear, specific purpose. It further breaks down the core flow (search → describe → invoke) and lists all 14 actions, distinguishing itself from sibling tools like toolkit_info and authenticate.

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

Usage Guidelines5/5

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

Explicitly contrasts invoke vs install: 'Use install only to make an MCP PERMANENT ... prefer invoke for a single/occasional use.' It also explains when to use list_tools, subscribe/cancel, report_bug, request_mcp, and the prompt actions, plus notes that write operations require workspace owner/admin.

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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TDQS

A3.6/5.0
Disambiguation4/5

Most tools are clearly distinct: authenticate handles login, connect shows status, marketplace discovers and runs tools, report_bug is for feedback, show_version is for versions, toolkit_info shows installed state, and the TSE tool is a specific query. However, connect and toolkit_info both touch on connection status, which could cause minor confusion.

Naming Consistency2/5

Names follow no single pattern: some are single-word verbs (authenticate, connect), some are verb_noun snake_case (report_bug, show_version), one is a noun_noun (toolkit_info), and the TSE tool is a long snake_case phrase (tse_quitacao_eleitoral_consultar). This mix makes the set feel inconsistent and unpredictable.

Tool Count3/5

Seven tools is a reasonable count, but the set is split between general MCP platform management and a single TSE-specific consultation. This split makes the server feel unfocused and broader than its stated purpose, though it is not extreme.

Completeness2/5

The TSE domain is severely underrepresented, with only one consultation tool and no associated operations like validation or history. The platform management tools are fairly complete but belong to a different domain, leaving the actual stated purpose with significant gaps.