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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

A4.7/5.0
Behavior5/5

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

The description discloses key behavioral traits not in the annotations: one-off execution of invoke without installing, requirement for owner/admin on writes, and return of connect/top-up links. It also explains that search/describe flag installation status. These details complement the annotations (readOnlyHint=false, openWorldHint=true) and provide a rich behavioral picture. No contradiction with annotations.

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 long but information-dense, each sentence adds value. It is structured with a clear core flow and then lists actions in a logical sequence. The front-loading of 'official mcp.ai marketplace' and 'THE way to run them' sets context immediately. It could be more concise, but the complexity justifies the length; it avoids redundancy and maintains focus.

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 23 parameters and 14 actions, the description covers the main flows thoroughly (search/describe/invoke/install, subscribe/cancel, and the prompt library). It explains the output of invoke (connect/top-up links) but does not detail outputs for other actions (e.g., list_tools format, describe structure). It also glosses over some params like cancel_reason and resume. Yet it provides sufficient context for an agent to select and use the tool correctly in most scenarios.

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 coverage, the description must compensate, and it does by explaining the meaning of key parameters through the action flow (e.g., action, mcp_id, tool_id, arguments) and conditionals like 'invoke returns a connect link'. It covers the prompt-related parameters contextually (prompt_vars, prompt_targets) but does not enumerate every parameter explicitly. Given the complexity, this is adequate but not exhaustive.

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 it is the official MCP marketplace and catalog of tools, with a specific verb+resource: 'the in-platform catalog of every MCP/tool, AND the way to run them.' It explains the core flow (search → describe → invoke) and distinguishes itself from sibling tools like authenticate and connect by focusing on marketplace operations. It also covers the prompt library aspect, making its purpose comprehensive and unambiguous.

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?

Provides explicit when-to-use guidance: 'prefer invoke for a single/occasional use' vs 'install only to make an MCP PERMANENT', and describes conditional behavior (connect link if credential needed, checkout if wallet empty). It also explains the core flow and specific actions (search_prompts, get_prompt, publish_prompt), giving clear context on when each action is appropriate. No exclusions are stated, but the guidance is highly actionable.

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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