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Robyn — Gasless Cross-Chain for AI Agents

The right order to call things

robyn_recipes

Ordered playbooks for real goals: pay-someone-safely, prove-what-i-spent, spend-within-a-budget, handle-failures-well, stay-current. CALL THIS BEFORE IMPROVISING A SEQUENCE. Each step says what it answers, what to do with the answer, whether it is optional, and what skipping it costs. Steps marked optional:false should not be skipped — skippingCosts explains the concrete harm, not a style preference.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoa specific recipe, or omit for all

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full transparency burden. It does describe the content and structure of steps ('what it answers, what to do with the answer, whether it is optional, what skipping it costs'), which is helpful. But it does not disclose whether the tool is read-only, what it returns overall, or any failure/edge-case behavior, leaving notable gaps.

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 compact and front-loaded with the list of playbooks, then the key usage instruction, then output structure details. Every sentence adds value, though the all-caps 'CALL THIS BEFORE...' is slightly noisy and the sentence about step details could be trimmed without losing meaning.

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 tool's simple interface (one optional parameter, no output schema), the description provides sufficient context: what the playbooks are, when to invoke, and what each step tells the user. It doesn't over-explain return values, and the mention of 'skippingCosts' hints at output richness. A concrete example or a note about the return container would make it fully complete, but it's strong for the complexity level.

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?

The schema already documents the single 'name' parameter well ('a specific recipe, or omit for all'), giving 100% coverage. The description does not add any additional parameter-level meaning, so the baseline 3 is appropriate.

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?

The description clearly identifies the tool as providing ordered playbooks for specific real-world goals (pay-someone-safely, prove-what-i-spent, etc.), which goes well beyond the vague title. It distinguishes itself from sibling execution tools by framing itself as a sequencing guide ('CALL THIS BEFORE IMPROVISING A SEQUENCE'), though it doesn't explicitly contrast with any named alternative.

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 explicit guidance on when to use it: before improvising a sequence. It also scopes the tool to particular goal areas, implying it should not be used for arbitrary ordering tasks. However, it lacks explicit exclusions or named alternatives, so it stops short of a full 5.

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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