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findagent_buy_agent

Get a browser checkout link to PURCHASE a paid FindAgent agent. Returns checkout_url — open it in a browser (signed in to FindAgent) and complete the purchase with the Buy button; payment is handled securely by Paddle in the browser. NEVER share card details here. A free agent returns already_free (just use findagent_add_connector); an agent you already own returns already_owned; if paid checkout is not live yet it returns checkout_not_live. After purchase settles, retry findagent_add_connector. An unknown or unpublished slug returns a needs_input result pointing back to findagent_browse_agents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesThe published agent slug (from findagent_browse_agents).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugNo
titleNo
statusNo
currencyNo
next_toolNo
price_typeNo
price_centsNo
checkout_urlNo
instructionsNo

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the annotations, the description reveals key behavioral details: it returns a checkout URL, payment is handled by Paddle in the browser, card details should never be shared in the tool, and several possible return states (already_free, already_owned, checkout_not_live) are disclosed. No contradiction with readOnlyHint=false or 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.

Conciseness5/5

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

The description is dense but every sentence serves a purpose: defining the action, explaining the browser flow, warning against sharing card details, and enumerating the distinct output states. The most important information is front-loaded.

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

Completeness5/5

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

For a single-parameter tool with an output schema present, the description covers the input origin, the browser-based payment flow, post-purchase next steps, and all relevant status outcomes. An agent has enough context to invoke it correctly without further investigation.

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

Parameters3/5

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

The schema already has a single parameter with full coverage, so the description is not required to compensate. It still adds marginal value by clarifying the slug comes from findagent_browse_agents, but it does not need to go further.

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 opening phrase 'Get a browser checkout link to PURCHASE a paid FindAgent agent' states a specific verb, resource, and outcome. It is clearly differentiated from related tools like findagent_add_connector and findagent_browse_agents based on the purchase-oriented role.

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 explicitly gives routing guidance: use findagent_add_connector for free agents, retry it after a paid purchase settles, and fall back to findagent_browse_agents for unknown slugs. This makes the when-to-use decision explicit rather than implied.

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

A4.1/5.0
Disambiguation5/5

Every tool targets a clearly scoped resource+action combination, and the versioning variants (bump_version vs repull vs reintrospect_mcp) are explicitly disambiguated by agent kind. Even with 52 tools, the descriptions make each purpose distinct enough to avoid misselection.

Naming Consistency4/5

Nearly all tools follow the findagent_<verb>_<object> snake_case pattern, and families share predictable verbs like list, create, delete, edit, and submit. Minor exceptions such as findagent_preflight, findagent_whoami, and findagent_earnings keep it from perfect consistency.

Tool Count2/5

At 52 tools, this far exceeds the 25-tool threshold for a coherent MCP surface. The count may reflect a broad platform, but as a single toolset it is heavy and likely to strain agent selection and context.

Completeness3/5

The surface covers publishing, versioning, knowledge bases, org management, GitHub import, purchases, and the demand board in impressive depth. However, there are notable dead ends: no unpublish/delete for a live agent, no request-fulfillment/linking action, and no org deletion or KB document update.

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