Price list
pricingEvery endpoint this server fronts, with its exact per-call USD price (x402, USDC on Base) and a one-line summary, read live from the route table. Free.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
pricingEvery endpoint this server fronts, with its exact per-call USD price (x402, USDC on Base) and a one-line summary, read live from the route table. Free.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 that the data is read live from the route table, that it covers every endpoint, and that the call itself is 'Free'. This is sufficient for a read-only informational tool, though it does not describe response structure beyond price and summary lines.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The entire description is one sentence that packs scope, content, and cost information without redundancy. The addition of 'Free' is concise and valuable. Every clause earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter tool with no output schema, the description is complete: it explains what the tool does, the scope (every endpoint), the data source (live route table), and the cost (free). There is no missing information that an agent would need to invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero parameters, so there is nothing to explain. The description adds context about what the tool returns (exact per-call USD price and one-line summary), which is helpful. Baseline for no parameters is 4.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states that the tool lists every endpoint the server fronts, with exact per-call USD price and a one-line summary. It uses a specific verb ('read live') and resource ('route table'), and is clearly distinct from sibling tools that perform data lookups or actions.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage: to discover endpoint prices before calling them. It mentions it is 'Free' and 'read live from the route table', but does not explicitly state when to use it versus alternatives or provide exclusions. Context is clear enough for an agent to infer appropriate use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool serves a clearly distinct function—data discovery, holidays, icons, OCR, news, PDF extraction, pricing, URL reading, data requests, screenshots, timezone, and weather. There is no overlap in purpose; even read_url and screenshot_url differ by output format (markdown vs PNG).
All tool names use lowercase snake_case and are readable, but the pattern is not uniformly verb_noun—some are nouns (holidays, news, pricing, timezone, weather) while others are verb_noun (find_data, read_url). This is a minor inconsistency that doesn't impede predictability.
With 12 tools, the server sits comfortably within the ideal 3–15 range. Each tool earns its place covering a distinct web utility, and the count matches the broad but well-defined scope of a general-purpose web toolbox.
The tool surface is fairly complete for a general-purpose web utility server, covering common tasks like fetching, extracting, searching, and checking time/weather/holidays, plus meta tools (pricing, request_data). Minor gaps like a generic text summarizer or video tool exist, but nothing critical for the intended purpose.