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19PINE-AI

Pine Assistant MCP Server

Official
by 19PINE-AI

pine_auth_verify_code

Verifies the email code with a request token to activate Pine AI credentials, granting access to all Pine tools.

Instructions

Step 2: Verify the email code and activate Pine AI credentials.

Use the request_token from pine_auth_request_code and the code the user received. On success, all Pine tools become available.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes
emailYes
request_tokenYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations provided, the description carries full burden. It discloses that on success, credentials are activated and all Pine tools become available. This is a significant behavioral effect. However, it does not detail potential failure modes or side effects, but given the simplicity of the action, it is sufficiently transparent.

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 extremely concise, consisting of only two sentences. The first sentence front-loads the purpose and step number, and the second provides usage details and outcome. No unnecessary words.

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?

Given that an output schema exists, the description need not explain return values. It explains the activation effect on other tools, which is the most important context for an auth verification step. The description is complete for its complexity level.

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?

Although schema description coverage is 0%, the description adds meaning to all three required parameters. It explains that 'request_token' comes from pine_auth_request_code and 'code' is from the user. The 'email' parameter is implicit but clear. This adds value beyond the bare schema.

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 step 2 of the auth flow, verifying an email code and activating Pine AI credentials. It specifies the verb 'verify' and the resource 'email code', and distinguishes from the sibling tool pine_auth_request_code.

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

Usage Guidelines4/5

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

The description explicitly mentions using the request_token from pine_auth_request_code and the code from the user. It also states the outcome (all Pine tools become available). It provides clear context for when to call this tool as part of a two-step process, though it does not explicitly state when not to use it.

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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