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AxonityAI

Axonity Flow MCP Server

Official
by AxonityAI

analyze_workflow_reachable_outputs

Identify which upstream outputs a workflow step can read, enabling correct input binding without guessing field names.

Instructions

List the outputs a given step can read — i.e. what upstream steps make available to it. Use it to bind a step's inputs to real upstream outputs instead of guessing field names. Stateless, and safe for read-only service tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stepIdYesThe step whose reachable inputs you want.
documentYesThe workflow document.
Behavior4/5

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

No annotations provided, but the description declares 'stateless, and safe for read-only service tokens', disclosing read-only nature. It does not detail any edge cases or failure modes, but is adequate.

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?

Two sentences, front-loaded with the core action. Every sentence adds value without 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?

With no output schema, it would help to mention the return format, but the description covers purpose, use case, and safety. Adequate for a sandbox tool with two parameters.

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 coverage is 100% (2 parameters described in schema). The description adds minimal extra meaning beyond schema, only implying their use. Baseline 3 is appropriate.

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 tool lists outputs a step can read from upstream steps, with a specific use case. It distinguishes from sibling workflow tools by its unique function.

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 explicitly says when to use it (bind step inputs to real upstream outputs) and notes it is safe for read-only tokens. No explicit alternatives mentioned, but context is clear.

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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