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ai_visibility_signal

$0.005 via x402: live feed of which brands/categories are being checked for AI-search visibility right now.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
x_paymentNoOptional signed x402 payment payload

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Added
  4. Removed
  5. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full disclosure burden. It usefully discloses that the feed costs $0.005 and is paid via x402, and that it reports current checks rather than historical aggregates. It does not describe the response shape, streaming vs. snapshot mechanics, or whether the x_payment payload is required to access the feed, leaving non-trivial behavioral gaps.

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?

One compact sentence with no filler; the price and payment mechanism are front-loaded, and the feed content follows immediately. Every word contributes meaning.

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?

Low complexity and full schema coverage help, but with no output schema the description must convey what the caller gets back. It says the feed is of 'which brands/categories are being checked... right now' but leaves the response format and any payment-required caveats unspecified, so the tool is adequate but not fully complete.

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?

The schema already documents x_payment as an optional signed x402 payment payload, so the baseline is 3. The description adds the cost context ('$0.005 via x402'), which explains why the parameter matters and ties the fee to the payment mechanism. It does not add syntax or construction details, but the schema coverage is complete.

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?

The description clearly identifies what the tool provides: a live feed of which brands/categories are being checked for AI-search visibility, with the temporal qualifier 'right now' distinguishing it from a static index or ranking. The noun-phrase form 'live feed' is a minor weakness; it lacks an explicit verb like 'returns' or 'lists', so the main action is implied rather than fully stated.

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

Usage Guidelines3/5

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

The phrase 'live feed ... right now' implies real-time monitoring usage, so an agent can infer when this tool is appropriate over a static index or ranking. However, it never names alternatives such as ai_visibility_index or brand_ai_visibility_check, nor does it state when not to use this tool.

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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