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Agent Wholesale

Search the fresh public web

web-search

Search the fresh public web Canonical product ID: web-search. Price: $0.01 USD per successful x402 purchase. Freshness: Fresh search at request time. Provenance: Normalized organic web-search results with source URLs. Reliability: Production x402 endpoint backed by the shared search supplier path. Repeat capability: Reuse or refine the query, country, and limit for follow-up searches.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes
countryNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
metaNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses meaningful traits: freshness at request time, normalized organic results with source URLs, production endpoint reliability, and a cost of $0.01 per successful purchase. These go beyond what the schema or annotations would convey.

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 description is compact and front-loaded with its purpose before a set of short, labeled attributes. The metadata lines are mostly useful, though 'Canonical product ID' adds little for an AI agent selecting the tool.

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?

The description covers purpose, freshness, provenance, reliability, cost, and repeat usage, and an output schema is present. Still, gaps remain around parameter semantics and explicit differentiation from sibling tools, so it 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.

Parameters2/5

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

Schema description coverage is 0%, so the description should compensate, but it only mentions 'query, country, and limit' in passing as things to reuse or refine. It does not explain the expected format for country, the range or effect of limit, or any other parameter-specific detail.

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 opens with a specific verb and resource: 'Search the fresh public web'. It clearly identifies the tool's core function, though it does not explicitly contrast itself with the sibling tools change-check and keyword-trends.

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?

Usage is implied by the purpose and the repeat-capability note that says to 'Reuse or refine the query, country, and limit for follow-up searches.' However, there is no explicit guidance about when to choose this tool over change-check or keyword-trends, nor any exclusions.

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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