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Glama

start_monitoring

Start daily domain monitoring by selecting a starter or business plan, then return the PayPal plan ID to complete checkout; require customer consent for email processing and immediate start.

Instructions

Start a daily monitoring subscription (plan "starter" = $29/mo up to 10 domains, "business" = $99/mo up to 100 domains). Returns the PayPal plan id to complete the subscription. Set consent to true ONLY after the customer agreed to email processing and immediate start.

Args:
    email: the customer's email.
    plan: "starter" or "business".
    consent: must be true, with the customer's agreement.

Input Schema

NameRequiredDescriptionDefault
planNostarter
emailYes
consentNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the whole burden and does well: it discloses the recurring daily nature, the price and domain caps per plan, that a PayPal plan id is returned to complete an external payment flow, and that consent is legally gated. It omits idempotency, permissions, and what happens on duplicate subscription, so it falls short of a 5.

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 core purpose and pricing are front-loaded and the sentence count is low, but the Python-docstring style 'Args:' block partially restates what the schema already names, which is mild redundancy.

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?

There is no output schema, and the description compensates by explaining that a PayPal plan id is returned to finish the subscription. Pricing, consent, and all params are covered; only edge cases like repeat or upgrade behavior are missing.

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

Parameters5/5

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

Schema coverage is 0%, yet the description documents all three parameters, including the pricing and domain limits behind each plan value and the exact meaning of consent. This adds substantial meaning beyond the bare string/boolean types in the 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 states a specific verb and resource: 'Start a daily monitoring subscription'. It also names the concrete plans and their pricing/limits, so it is clearly distinguishable from siblings like scan_tls and buy_full_report.

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?

It gives a clear precondition for use: set consent to true only after the customer has agreed to email processing and immediate start, which is a real gate on when the tool may be invoked. It does not, however, say when to prefer this over buy_full_report or what to do when a subscription already exists.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.