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SqueezeOS — Institutional AI Market Intelligence

Agent Web Access

agent_web_access

Use SML Agent Web Access: give an AI agent one public HTTPS URL and receive compact LLM-ready Markdown through the stable Clean Web Reader service. No separate SML account or API key is required. An unsigned call returns the live x402 PAYMENT-REQUIRED challenge and never auto-spends; retry only with a challenge-specific payment_signature.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesPublic HTTPS URL to read.
max_charsNo
payment_signatureNoCanonical x402 v2 PAYMENT-SIGNATURE bound to this exact Agent Web Access challenge.

Schema Changelog

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

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Even though annotations already declare openWorldHint true and readOnly false, the description adds critical behavioral detail: unsigned calls return a live x402 challenge, never auto-spend, and require a challenge-specific payment_signature to proceed. This goes beyond the annotations by explaining the payment negotiation flow and the meaning of the payment_signature parameter.

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?

Two dense sentences, zero filler. The primary function is stated first, followed by the payment flow caveat. Every word earns its place, and the critical behavioral nuance is not buried.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 3-parameter tool with no output schema, the description conveys the essential invocation flow: URL in, Markdown out, optional max_chars, and the payment challenge handshake. It does not enumerate error cases or exact response schema, but the description provides enough to attempt a correct first call.

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 67%: url and payment_signature have descriptions, while max_chars does not. The main description adds context for payment_signature ('challenge-specific') but does not clarify max_chars beyond the schema's absence. This is adequate but not exceptional; the schema and description together cover most parameter meaning.

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 states a specific action (give one public HTTPS URL, receive Markdown) and a specific resource (public HTTPS URLs via Clean Web Reader). It clearly differentiates the tool from the sibling capability and x402 tools, which are about metadata/contracts rather than fetching web content.

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

Usage Guidelines4/5

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

The description makes usage context clear: use this tool to read a public HTTPS URL into LLM-ready Markdown without an SML account. It also provides procedural guidance for the x402 flow (unsigned call first, then retry with a challenge-specific signature). It does not explicitly name alternatives or when-not-to-use, but that is not needed given sibling differentiation.

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

A4.1/5.0
Disambiguation4/5

Most tools have clear boundaries: discover searches, inspect examines one, compare contrasts, recommend interprets natural language, and call executes. Some ambiguity exists between capability_manifest and discover_capabilities for inventory listing, and recommend_capability could be confused with discover_capabilities, but descriptions generally prevent misselection.

Naming Consistency4/5

All names are lowercase snake_case, and the core capability operations follow a verb_noun pattern. The noun-led capability_manifest, system_status, and x402_* resources deviate from that pattern, and capability names mix singular and plural, but the naming remains readable and internally consistent per subdomain.

Tool Count5/5

Ten tools is well within the ideal range and each tool maps to a distinct part of the capability discovery, comparison, payment, and execution workflow. There are no obviously redundant or throwaway tools, so the count feels appropriately scoped.

Completeness5/5

The set covers the full read-only market-intelligence lifecycle: inventory, search, inspect, compare, recommend, call, payment readiness, contract lookup, and settlement evidence. Operator CRUD is explicitly outside scope, so there are no meaningful dead ends for an agent using this surface.

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