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Run a tool (paid)

call_tool

Paid, from $0.01 per call, settled in USDC on Base over x402. Runs one utility and returns its result. Tools contact no one and store nothing; website signals and image resize read only the one public URL you name. A request refused for its input is never charged.

Input Schema

NameRequiredDescriptionDefault
bodyYesThe tool's request. Call list_tools for its schema and an example.
slugYesWhich tool. Use the published slug.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / slug / enum
      Previous value: -[
      -  "qr-code",
      -  "timezone-convert",
      -  "markdown-to-html",
      -  "calendar-ics",
      -  "site-signals"
      -]New value: +[
      +  "qr-code",
      +  "timezone-convert",
      +  "markdown-to-html",
      +  "calendar-ics",
      +  "site-signals",
      +  "image-resize"
      +]
  2. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does real work: it discloses the pricing floor ($0.01), the settlement rail (USDC on Base via x402), the no-charge-on-refusal rule, and a privacy claim that tools contact no one and store nothing. It stops short of explaining payment failure handling, retry/idempotency behavior, or whether errors other than input refusal are billed.

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?

Four compact sentences that front-load the cost and payment mechanism before the behavioral guarantees. Dense and nearly waste-free, though the privacy clause about URLs sits slightly awkwardly in an otherwise generic execution description.

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 tool with a free-form nested body object, six enum slugs, no output schema, and no annotations, the description covers the commercial and trust model well and correctly defers per-tool request shape to list_tools/get_schema via the schema itself. The missing piece is the return shape and any payment handshake detail.

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 coverage is 100% and both parameters describe themselves, so baseline is 3. The description adds only indirect meaning to body by noting that site-signals and image-resize read just the one public URL provided, which hints at body contents for two of six slugs but does not characterize slug or body generally.

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?

"Runs one utility and returns its result" gives a specific verb and a bounded scope, and the paid/x402 framing separates it from free-looking siblings like sandbox_call. It doesn't name the sibling tools it competes with (call_action, call_coach, sandbox_call), so the differentiation is implied rather than stated.

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?

The description makes clear this is a paid execution path and notes that input-refused requests are free, which is useful routing context. However, it never says when to prefer sandbox_call over this, when to use get_schema or list_tools first, or when to pick a sibling like call_action instead.

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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