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paygentic

validate_email

Email validation: syntax check plus MX lookup for the domain. Input: e. Price: $0.001 per call (x402, USDC on Base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
eYesEmail address

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden, and it does disclose two genuinely useful traits: the validation methodology (syntax + MX) and the per-call price of $0.001 via x402/USDC on Base, which matters for an agent that has to pay. However, it says nothing about failure behavior, what happens on malformed input, rate limits, or whether syntax failures short-circuit the MX lookup. Partial coverage, not complete.

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?

Two compact sentences with the purpose front-loaded, followed by the input and cost. Every clause carries information relevant to invoking the tool. Slightly dense with the payment parenthetical, but nothing is wasted.

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 single-parameter validator this is nearly adequate, but there is no output schema and the description never indicates what a result looks like (boolean vs. structured details) or how validation failure is represented. The low complexity limits the damage, but the agent is left inferring the response shape.

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% and there is one documented parameter ('e', described as 'Email address'). The description merely echoes the parameter name as 'Input: e', adding no syntax, format, or constraint detail beyond the schema. Baseline 3 is appropriate.

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?

States a specific verb and resource (email validation) and even specifies the method: syntax check plus MX lookup for the domain. That is well beyond a tautology. It stops short of a 5 only because it never distinguishes itself from the sibling validate_domain, which an agent could easily confuse with this one.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no statement of prerequisites, and no routing against validate_domain or the other siblings. The only extra context is pricing, which is not usage guidance. An agent learns what the tool does but not when it should pick this over an alternative.

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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