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Robyn — Gasless Cross-Chain for AI Agents

Does this spend need the principal to approve it?

robyn_mandate_cosign_request

For mandates with a co-sign threshold, check whether a specific spend needs the principal to approve it and get the exact digest they must sign. The digest binds the mandate, the transfer AND the amount, so an approval cannot be reused for a different payment — do not attempt to reuse one. If a large spend is refused for want of a countersignature, present the digest to the principal rather than splitting the spend to slip under the threshold.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
amountYes
mandateIdYes
transferIdYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations, the description carries the burden. It discloses critical behavioral traits: the digest binds the mandate, transfer, and amount, and that approvals cannot be reused. However, it lacks explicit statement about whether the tool is read-only or has side effects, and does not describe error/refusal behavior beyond the digest-presentation advice.

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

Conciseness5/5

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

The description is three sentences, front-loaded with the core purpose and followed by two critical caveats. Every sentence adds value, and the structure is tight with no redundancy.

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?

Given the lack of output schema and annotations, the description provides sufficient context for a check tool: when to use, what it returns (digest), and how to handle a common refusal. It does not elaborate on error conditions or edge cases, but it is adequate for its complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

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 indirectly explains all three parameters by stating the digest binds the mandate (mandateId), the transfer (transferId), and the amount (amount). This adds semantic meaning beyond bare parameter names, though it does not detail formats or units.

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?

The description clearly states it checks whether a specific spend requires principal approval and retrieves the exact digest to sign. It distinguishes itself from siblings by specifying the co-sign threshold context and the binding nature of the digest to mandate, transfer, and amount.

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?

It explicitly states the tool applies to mandates with a co-sign threshold and provides guidance for the refused-large-spend scenario: present the digest rather than splitting the spend. It does not name alternative tools but gives clear contextual when-to-use guidance.

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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TDQS

A3.6/5.0
Disambiguation2/5

Many tools have overlapping purposes, such as robyn_quote, robyn_prepare, robyn_settle, robyn_cross_chain, robyn_plan, robyn_preflight, and robyn_preflight_full, all involving routing or quoting. Although descriptions are detailed, the high number of subtly different tools makes selection error-prone.

Naming Consistency5/5

All tools follow a consistent <prefix>_<verb/noun> pattern, with robyn_ and null_ as clear category prefixes. Verbs like prepare, submit, verify and nouns like quote, plan, mesh are highly predictable throughout.

Tool Count2/5

With 70 tools, the count far exceeds the 25+ heavy threshold. While the service scope is broad (payments, messaging, netting, Plus, yield, etc.), many tools could be merged or tiered, making the set feel overly large and burdensome for an agent.

Completeness4/5

The surface covers the full lifecycle from quoting, planning, submitting, verifying, auditing to messaging, custody, yield, and mandates, plus sandbox, lint, and recipes. A few advanced operations like cancellation or revocation are missing, but no critical gaps remain.