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INCRA SIGEF: Detalhes de Parcela

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

A4.5/5.0
Behavior4/5

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

The description adds important behavioral context beyond the annotations: it explains that invoke works even when the MCP is not installed and runs one-off without bloating the toolkit, it mentions connect/checkout flows return links rather than errors, and clarifies that write operations require workspace owner/admin. While the annotations are minimal (not read-only, not destructive), the description proactively discloses these nuances. It doesn't describe every action's side effects (e.g., uninstall behavior), but for a multi-action tool this is substantial. No contradiction with annotations, so no score penalty.

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 dense but well-organized, front-loading the overall purpose and then flowing from core discovery flow to nuanced execution semantics (invoke vs install), permissions, and finally the prompt library extension. Every sentence adds distinct value; there is no filler. However, it is long and may benefit from bullet points to ease scanning, but still earns a high score for its efficiency.

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?

Given the tool's high complexity (14 actions, 23 params, no output schema), the description covers the main workflows, distinguishes invoke from install, mentions auth/payment edge cases, and outlines the prompt library side. It does not enumerate every action's exact response format or error handling, but it gives enough operational guidance to make the tool usable. A 5 would be reserved for something like per-action parameter substitution, but this is well above average.

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 schema has 23 parameters with 0% coverage (no parameter descriptions), but the overall description explains the core parameters (action with its enum values, mcp_id, tool_id, arguments, prompt-related params) by embedding them in the workflow explanation. It clarifies the meaning of action values like invoke, install, search_prompts, and mentions prompt variables. However, not every parameter is explicitly explained (e.g., immediate, tier_slug, conversation, prompt_targets), so it doesn't fully compensate for the missing schema coverage, but it does add meaningful semantics that the agent cannot infer from the bare JSON.

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 clearly states that marketplace is the official mcp.ai catalog and execution platform, explicitly listing all its capabilities (search, describe, invoke, install, etc.) and distinguishing it from a simple tool. It names the target resource (MCPs and prompts) and the actions performed, making it unmistakable even among sibling tools like authenticate or connect.

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?

The description provides explicit guidance on when to use which action and how they relate: 'Core flow: action=search... → describe... → invoke RUNS that tool', contrasts invoke vs install ('Use install only to make an MCP PERMANENT... prefer invoke for a single/occasional use'), mentions auth/wallet edge cases ('invoke returns a connect link', 'returns a checkout/top-up link'), and tells users to use list_tools for currently callable tools and request_mcp when nothing fits. It also notes write operations require owner/admin. This exceeds expectations.

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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