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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

B3.3/5.0
Behavior4/5

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

No annotation contradiction found; the description actually expands on the annotations' implications. The readOnlyHint: false is honored and enriched with detail that invoke triggers one-off installs, returns connect/checkout links for auth/payment, and that writes require owner/admin. The description discloses permissions, the point-in-time behavior of invoke, the link-return-and-retry pattern, and that installed_in_toolkit vs installed_in_workspace flags differ — all useful behavioral context an agent can't infer from the schema alone.

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 information-dense and every sentence does add value, but it's a single unbroken paragraph that mixes catalog discovery, invocation semantics, auth/billing nuances, prompt-library functionality, and permission restrictions. The 'KEY:' aside is a useful emphasis technique, but the lack of scannable structure (bullets, sentence cases) means an agent must grimly parse the whole statement to find the relevant behavior. It's compact, but it's compaction over structure.

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

Completeness3/5

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

For a high-complexity, multi-action tool with 23 parameters and no output schema, the description covers the flagship flows well — including the non-obvious 'invoke returns a connect link then you retry' pattern and the permission model. But completeness for this tool is measured across its breadth (actions covered: search/describe/install/invoke/list_tools/subscribe/cancel/report_bug/request_mcp and all four prompt-library flows), and in that breadth, some flows are papered over: report_bug, resume, and request_mcp get name-checks only, with no parameters or response behavior described. Decent breadth, but the actions are of very different granularity and the descriptions don't scale to the tool's scope.

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

Parameters2/5

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

Schema coverage is 0% and the description is the ONLY source of parameter meaning, yet it references only action, query, mcp_id, and tool_id conceptually — leaving 19 of 23 parameters (including structured types like arguments, prompt_targets, cancel_reason, conversation) completely undocumented. The description also never maps which fields pair with which action values (e.g., which params describe expects). With zero schema description and zero parameter guidance, agents must guess at the field composition rules, which is a significant gap for a 23-parameter tool.

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 this is the official mcp.ai marketplace for discovering and running MCPs, with a stated core flow (search → describe → invoke). However, the tool bundles 14 different actions and two distinct subsystems (billing + prompt library), which fragments the 'resource' being described. It's specific and goes well beyond the tautological name, though it could more crisply state 'lists/installs/manages MCPs and prompts' as a single-sentence purpose.

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

Usage Guidelines3/5

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

The description provides strong usage guidance for when to use invoke vs install ('prefer invoke for a single/occasional use', 'Use install only to make an MCP PERMANENT'), and it excludes billing/feedback/request actions. However, the guidance is buried in a dense monologue rather than structured, and since this is a single tool dispatching on an 'action' enum, the 'vs alternatives' comparison is largely internal to the description itself. Some alternatives (subscribe vs cancel) are implied in the billing flow but not explicitly compared.

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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