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Beacon - verified-merchant index for AI shopping agents

verify_capability

Verify a merchant capability with evidence, e.g. age_gate_21 or ships_to_US-FL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
capabilityYes
merchant_idYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3.3/5.0
Behavior2/5

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

With no annotations to fall back on, the description carries full burden for behavioral disclosure. It uses the word 'verify' which hints at a read-only check, but it does not explicitly state whether the operation is destructive, requires authentication, or has any side effects. No information about error handling or edge cases is given.

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—a single sentence of 11 words that immediately conveys the tool's purpose with an illustrative example. No superfluous information is included.

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 simple verification tool with no output schema, the description covers the basic action and parameter values but omits any mention of return type (e.g., boolean, status message) or error scenarios. This incompleteness could hinder an agent interpreting the result.

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 input schema provides no descriptions (0% coverage), so the description must compensate. It adds examples for the 'capability' parameter ('age_gate_21', 'ships_to_US-FL'), clarifying expected values. However, the 'merchant_id' parameter receives no additional context, leaving its format or source unspecified.

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 verb 'verify' and the resource 'merchant capability', with concrete examples like 'age_gate_21' and 'ships_to_US-FL' that illustrate the tool's scope. It distinguishes itself from sibling tools (e.g., find_best_merchant, search_offerings) by focusing on verifying a specific capability rather than finding or browsing merchants.

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?

No guidance is provided on when to use this tool versus alternatives, nor are there any conditions or prerequisites mentioned. The description merely states what it does, leaving the agent without context for appropriate invocation.

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

A3.5/5.0
Disambiguation5/5

Each tool has a distinct purpose: find_best_merchant ranks merchants, get_merchant_view shows details, index_stats provides statistics, search_offerings finds products, and verify_capability checks specific capabilities. No overlap in functionality.

Naming Consistency4/5

Most names follow a verb_noun pattern (find_best_merchant, get_merchant_view, search_offerings, verify_capability), but 'index_stats' is ambiguous (index as noun or verb?) and breaks the pattern slightly. Overall consistent use of lowercase and underscores.

Tool Count5/5

With 5 tools, the server is well-scoped for a merchant index for AI shopping agents. Each tool covers a core need without redundancy or bloat.

Completeness4/5

The tool set covers key operations: finding best merchants, viewing details, searching offerings, stats, and verification. Minor gaps (e.g., listing all merchants or categories) but sufficient for the stated purpose.