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Robyn — Gasless Cross-Chain for AI Agents

Messaging v2 — all mailboxes (oblivious lookup)

robyn_message_directory

Every published v2 mailbox. PUBLIC rows carry {address, metaAddress, kemPub}; PRIVATE rows (the default since 2026-08-28) carry {handle, metaAddress, kemPub} and deliberately NO address. Identical for every reader, so fetching it reveals nothing about whom you intend to message — pick the recipient locally. Seal with the SDK: seal({metaAddress, kemPub}, {text, ts, from?, sig?}). Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. Added

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations, the description fully discloses behavior: it is read-only, identical for every reader, contains no address in private rows, and includes guidance on how to seal a message. This goes far beyond the input schema and is highly transparent.

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 dense and front-loaded with the core purpose, followed by row structure and privacy implications. It is longer than strictly necessary, but every sentence adds valuable context, so no filler.

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

Completeness5/5

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

For a parameterless read-only tool, the description completely covers what the agent needs: what the directory contains, the privacy model, the exact fields, the sealing SDK call, and the read-only nature. No output schema exists, but the description adequately describes the return format.

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?

The tool has zero parameters, so there is no parameter semantics to add. Baseline 4 is appropriate because the description does not need to compensate for any schema gaps.

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 the resource ('all published v2 mailbox rows') and the operation (fetching the directory). It explains the two row types and their fields, and distinguishes itself as an 'oblivious lookup' — making its purpose unambiguous and distinct from sibling message tools.

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?

The description gives clear context for when to use it: when you need to pick a recipient locally to avoid revealing intent. It does not explicitly name alternatives or state when not to use it, but the privacy-preserving rationale is enough to guide an agent.

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.