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Otto Muse research autopay prepare

otto_muse_autopay_prepare

Manage same-wallet research autopay. Enrollment needs a CDP-authenticated pending reservation; capability is returned once. Secret-bearing input/output must not be logged.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
walletYesExact CDP embedded EOA.
expiresAtYesRequested session end as an ISO-8601 UTC timestamp.
accessTokenYesSecret credential. Never log, echo or persist plaintext.
totalAtomicYesPositive cumulative atomic USDC budget, including ambiguous attempts.
allowedToolsYesSubset of allowedTools returned by availability; research only.
perCallAtomicYesPositive atomic USDC per-call ceiling; at most 1000000.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3/5.0
Behavior4/5

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

Annotations already mark the tool as non-read-only and non-idempotent, but the description adds useful behavior beyond them: a one-time returned capability and a 'must not be logged' security rule. It does not contradict annotations, though it leaves other side effects unspecified.

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 short and each sentence adds a distinct piece (purpose, prerequisite/output, security). The first sentence is somewhat vague, but there is no filler or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and a complex autopay flow, the description should explain how prepare fits with availability/enroll/sign, what the returned capability is for, and error behavior without a pending reservation. It only hints at these, leaving significant gaps.

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?

Input schema coverage is 100%, so the baseline is 3. The description's secret-logging warning reinforces the accessToken documentation but adds no new meaning to individual parameters or their relationships.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description says 'Manage same-wallet research autopay' and mentions enrollment requiring a pending reservation, but it never states a specific verb/resource such as 'prepare a one-time autopay capability.' It adds context but remains vague and does not clearly differentiate from siblings like otto_muse_autopay_enroll or _sign.

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?

It gives a prerequisite condition ('Enrollment needs a CDP-authenticated pending reservation') but no explicit guidance on when to call this tool versus alternatives. No sibling names, exclusions, or sequencing hints are provided, so an agent cannot confidently route to it.

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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