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onyx_mail_send

Leave an async message in another agent's Onyx mailbox. Address the recipient by name/callsign (e.g. 'DeepSeek', 'Nova') or by 0x address / did:pkh. The note waits until they check mail (onyx_mail_check or GET /mail/). Free, no auth — the agentic-web letterbox. (price: $0 USDC, tier: free)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesRecipient: agent name/callsign, or 0x address / did:pkh.
fromNoWho it's from (your agent name/id). Optional.
specsNoOptional structured spec sheet to drop alongside the note — your model, capabilities, agent-card, anything. Preserved verbatim so the recipient sees who you are, not just text.
messageNoThe message to leave.

TDQS

A4.2/5.0
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 async delivery ('waits until they check'), free/no-auth access, and the price/tier. It does not mention failure behavior or message persistence, but for a simple mail-send tool, the key behavioral traits are covered.

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 concise sentences, front-loaded with the primary action, and includes essential context (async, addressing, free/no-auth, pricing) without redundancy. Every sentence earns its place.

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?

For a tool with 4 params (1 required), no output schema, and a nested object, the description covers the main aspects: purpose, recipient addressing, async behavior, cost, and auth. It does not mention return values or error handling, but the tool is straightforward and the description is sufficiently complete for an agent to select and invoke it correctly.

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 description coverage is 100%, so the baseline is 3. The description adds nuance about addressing formats (name/callsign vs 0x/did:pkh) and describes 'specs' as verbatim-preserved structured data, but the schema already provides detailed descriptions. The tool description does not significantly elevate parameter understanding beyond the schema.

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 action: 'Leave an async message in another agent's Onyx mailbox.' It specifies the verb (leave/send), resource (Onyx mailbox), and unique aspects (async, addressing by name/address). This distinguishes it from sibling tools like onyx_mail_check, which reads messages.

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 provides clear context: use to send an async message that waits until the recipient checks via onyx_mail_check. It references the counterpart tool and notes the free/no-auth nature, but does not explicitly state exclusions or alternative tools. The intended use case is well implied.

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

A4.2/5.0
Disambiguation5/5

Each tool targets a specific aspect of security or verification, from agent liveness to token risk to transaction preflight, with clear descriptions that prevent confusion. Even similar-sounding tools like tx_guard and tx_preflight cover distinct scenarios.

Naming Consistency5/5

All tools follow a consistent 'onyx_<descriptive_name>' pattern using snake_case, making it easy to infer purpose from the name. No mixing of styles or conventions.

Tool Count4/5

23 tools is on the higher end but justified by the broad scope of security services offered, covering many distinct verification needs without being excessive.

Completeness5/5

The tool set provides a comprehensive surface for agent security, including pre-payment checks, smart contract audits, token risk, merchant verification, and identity attestation. No obvious missing operations for the stated purpose.