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AgentPay — Pay-per-call AI Microservices

web-search

web-search
Idempotent

Web search - top results for any query with title, url, snippet ($0.01 USDC per call)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
max_resultsNo

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?

Annotations cover read/idempotency/open-world traits, and the description adds genuinely new behavioral context the annotations cannot convey: the $0.01 USDC per-call cost, which is critical for an agent deciding whether to invoke it. It does not describe latency, result freshness, or pagination behavior, so it misses the top score.

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?

A single dense sentence that front-loads the verb, scope, and return fields with no filler. The pricing parenthetical is informative but slightly tacked on, keeping it just short of ideal structure.

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 2-parameter, no-output-schema tool the description is nearly adequate: it explains what comes back and what it costs. However, with 0% schema coverage it should have clarified max_results semantics, and it offers no routing guidance among the many similarly named siblings.

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% for both parameters. The description hints that a free-form query is accepted but says nothing about max_results — its default, allowed range, or effect on cost — leaving a required parameter's sibling wholly undocumented.

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 (search) and resource (web) and even names the return payload (title, url, snippet), so the agent knows exactly what it gets back. It does not explicitly differentiate itself from close siblings like web-scrape or deep-research, which keeps it out of the top tier.

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?

"for any query" implies a general-purpose lookup applicable whenever a search is needed, but there is no statement of when to prefer this over web-scrape or deep-research, nor any prerequisites or exclusions. Usage is only implied, not guided.

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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