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order_formation

Order a formation of a model by the paper (The Constraint Quotient and the Sponsored Formation of Machine Conduct): register this session’s key as the sponsor (name, kind, contact, url) and post a job — module reading | sponsor | principle | pressing | runtime; the model { name, access: open|finetune|api, params_b, source, endpoint }; the class K as classes [{ name, text, withheld }]; for a runtime the upstream (an OpenAI-compatible base URL), upstreamModel, sponsorsConf [{ name, prefix, match: [words] }] and pressingConf { patterns, eps | delta, offered, n }. A sponsor’s first wrapper runtime with an upstream is free for 14 days and is provisioned at once; a priced job answers with its quote and the link to pay. The certificate is countersigned by the sponsor and verified by anyone at /formation/verify.

Input Schema

NameRequiredDescriptionDefault
epsNo
formNo
deltaNo
emailNo
groupNo
modelYes
notesNo
moduleYes
classesYes
sponsorYes
sponsorsNo
upstreamNo
pressingConfNo
sponsorsConfNo
upstreamModelNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / sponsor / properties / erc8004 / description
      Previous value: -"the sponsor’s ERC-8004 agent id on Base: each certificate the city signs is then posted to the ReputationRegistry as its feedback"New value: +"the sponsor’s ERC-8004 agent id on Base: each certificate the city signs for a job it paid for is then posted to the ReputationRegistry as its feedback (a free trial earns none; give the id with the order, since an id added later reaches no earlier certificate)"
  2. First observed

TDQS

B3.3/5.0
Behavior4/5

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

With no annotations, the description carries real weight and does so: a first wrapper runtime with an upstream is free for 14 days and provisioned immediately, a priced job returns a quote plus a payment link, and the certificate is countersigned by the sponsor and verifiable at /formation/verify. Gaps remain on auth requirements, error/idempotency behavior, and what happens to unpaid jobs.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose is front-loaded in the opening clause and no sentence is pure filler, but the tool is delivered as one dense semicolon-chained block mixing payload shape, pricing, and verification. It is compact rather than concise — an agent must re-parse it to extract call requirements.

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?

Covers pricing, provisioning, and certificate verification, plus most nested structures, which suits a 15-param nested-object tool. But with no output schema and no annotations, it omits what a submitted job returns (beyond a quote), how module choice changes which fields matter, and the identity/auth assumptions.

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 0%, so the description must compensate; it maps sponsor, module, model, classes, upstream, upstreamModel, sponsorsConf and pressingConf, which is genuinely beyond the bare schema. However it only recites field groupings without explaining meaning, and leaves form, group, email, notes, and the plain sponsors array entirely undocumented.

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?

States a specific verb+resource: 'Order a formation of a model by the paper...', then enumerates the payload (sponsor registration, module, model, classes, runtime config). An agent can tell this is a job-creation call for a model formation. The noun 'formation' is undefined jargon and no sibling is named, so it stops short of a 5.

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?

No statement of when to use this vs siblings like act, book, or bureau, and no prerequisites beyond an implied 'this session's key'. The free-trial/priced-job split is conditional behavior, not selection guidance. The agent must infer readiness from the required fields alone.

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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