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web_fetch

Pay-per-call via standard x402 v1 (USDC on Base): fetch any public URL and return status, content-type and body. Price 0.01 USDC on Base.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesabsolute https URL to fetch

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose the payment model (pay-per-call via x402 v1) and scope (public URLs only), and specifies the returned fields. However, it omits details about error handling, rate limits, redirect behavior, or timeouts, which are relevant for a fetch tool. The description covers the essential behavioral aspects but lacks depth.

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 two sentences long and every word contributes meaning. It front-loads the payment context, which is important for a paid tool, before stating the core purpose. While it is concise, the structure could be slightly improved by stating the primary function first for quicker comprehension, but overall it is efficient.

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?

Given the tool's simplicity (one parameter, no output schema), the description is mostly complete. It covers input (URL), output fields (status, content-type, body), and cost. Missing are error handling specifics and rate limit information, which are less critical for a straightforward fetch operation but still relevant. The absence of annotations increases the burden, yet the description manages to convey the essential usage context.

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 schema already fully describes the 'url' parameter as an absolute HTTPS URL, achieving 100% coverage. The description adds the constraint that the URL must be 'public,' which is a useful semantic addition not present in the schema. Beyond this, the description adds little value, so a baseline of 3 is appropriate given the high schema coverage.

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 tool's function: fetching a public URL and returning status, content-type, and body. It uses a specific verb ('fetch'), identifies the resource ('URL'), and lists expected outputs. This differentiates it from siblings like crypto_price and storefront_catalog, which serve entirely different purposes.

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?

The description provides no explicit guidance on when to use this tool versus alternatives. It does not mention any conditions, exclusions, or alternative tools. Sibling tools like agent_site_audit might also involve fetching content, but no distinction is made, leaving the agent to infer applicability.

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
Disambiguation3/5

There is clear overlap between agent_site_audit/agent_site_audit_5 and wallet_watch_pro/wallet_watch_snapshot, which differ only by scale. Descriptions clarify the distinction, but the agent must carefully parse limits to choose the right one. Other tools are distinct.

Naming Consistency3/5

Tool names mix conventions: some start with a verb (generate_llms_txt, web_fetch), others are noun-first compounds (crypto_price, storefront_catalog, wallet_watch_*). Variant suffixes like _5, _pro, _snapshot are not uniform. Overall readable but not consistent.

Tool Count4/5

With 8 tools, the count sits comfortably within a well-scoped range. Each tool has a specific purpose, though some duplicates (audit variants, wallet variants) could be consolidated. Still, the number is appropriate for a mixed utility toolkit.

Completeness4/5

The server covers its stated domains—site auditing, crypto prices, LLM file generation, storefront catalog, wallet snapshots, and web fetching. There are minor gaps (e.g., no batch crypto pricing, no transaction history beyond recent), but for a pay-per-call toolkit the surface is reasonably complete.

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