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Describe the job, get it done: one call over the whole toolbox

do

Use when an agent has a job to get done and does not know which tool or in what order: describe it in plain words and it happens in ONE paid call: picks from 71 capabilities - transcription, translation, documents, images, web, on-chain, domains, IPs, weather, FX - fills their parameters and chains up to 3 steps, feeding each result into the next. Priced per job: the 402 challenge quotes YOUR job before you sign, from $0.02. If nothing fits, nothing is charged. $0.02 per call, paid over x402 (USDC).

Input Schema

NameRequiredDescriptionDefault
jobYesThe job to do, in plain words. Example: read this page and translate it to Spanish.
inputNoOptional data the job needs: a URL, an EVM address, a domain, or text.
max_stepsNoHow many tools may be chained, 1 to 3. Default 2.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
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 well: it discloses the paid nature ($0.02, USDC over x402), that a 402 challenge quotes the price before signing, that nothing is charged if no capability fits, and the 3-step chaining with result pass-through. Gaps remain on partial-failure behavior in a chain and on how the multi-step result is assembled.

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?

Front-loaded with the when-to-use condition and kept to a single paragraph of relevant material. The pricing is restated twice ("from $0.02" per job, then "$0.02 per call"), a redundant and slightly inconsistent line that costs it a point.

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 meta-tool with 71 underlying capabilities and no output schema, the description covers input, chaining limits, and pricing but never says what the caller gets back from a chained run or how per-step outputs are presented. That return-shape gap is the main thing an agent still has to guess.

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%, so job, input, and max_steps are already documented with examples in the schema. The description adds only indirect meaning (that the job may span up to 3 chained capabilities, which contextualizes max_steps), leaving baseline 3 appropriate.

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?

States a specific verb and resource: describe a job in plain words, and the tool selects among 71 capabilities, fills parameters, and chains up to 3 steps. It is unmistakably the orchestrator/meta-tool relative to the flat list of single-capability siblings like ai_translate or web_read, so an agent can tell what it is without opening the schema.

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?

"Use when an agent has a job to get done and does not know which tool or in what order" gives a clear selection condition that implicitly routes the agent away from direct sibling invocation when the right tool is already known. What's missing is an explicit exclusion or a cost/precedence trade-off versus calling a specific sibling directly.

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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