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markswendsen-code

@striderlabs/mcp-att

pay_bill

Initiate a one-time AT&T bill payment with your username and password. Manually confirm the payment to finalize it securely.

Instructions

Initiate a one-time bill payment on the AT&T account. For security, the final payment confirmation must be completed manually. Requires AT&T login credentials.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
amountYesPayment amount in USD (e.g. 75.50)
passwordYesAT&T account password
usernameYesAT&T account username or email address
payment_methodNoOptional: name or label of the saved payment method to use
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It clearly discloses that the final payment confirmation must be completed manually (indicating the tool only initiates, not completes), and that login credentials are required. This adds meaningful security and process context beyond a simple action statement.

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 two sentences long, front-loaded with the main purpose, and includes only essential additional information (security requirement, auth requirement). Every sentence contributes meaning, with no repetition or filler.

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?

For a tool with no output schema and no annotations, the description provides adequate context: it explains the action, the key manual confirmation step, and credential requirements. It could provide more detail about post-call expectations (e.g., response format), but the manual confirmation hint gives the agent a clear workflow signal.

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?

Schema description coverage is 100%, so the schema already documents all parameters (username, password, amount, payment_method). The description does not add additional parameter-level semantics beyond what is in the schema, such as constraints on amount or how payment_method is used. Baseline 3 is appropriate.

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 the action ('Initiate a one-time bill payment'), the resource ('AT&T account'), and differentiates this as the only payment action among siblings, which are all read-only (get_account_overview, get_usage_details, get_bill_history, check_upgrade_eligibility). This makes the purpose unambiguous and distinguishable.

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 implies when to use the tool (to pay a bill) and provides clear context about the payment process. However, it does not explicitly name alternatives or state when not to use it. The manual confirmation note serves as a usage warning, but no explicit when-not or alternative tool comparison is present.

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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