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get_flow_schema

Infers a simple JSON schema from a captured flow's response body to define its structure.

Instructions

Infer a simple schema from a flow's JSON response body.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
flow_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so description bears full burden. It only states it infers a schema but does not disclose effects like whether it modifies data, requires flow existence, or handles non-JSON bodies. Lack of behavioral details.

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?

One sentence with no fluff or repetition. Front-loaded with the core action and resource. Every word contributes.

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

Completeness2/5

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

Given the output schema exists, return value is partly covered, but the description lacks completeness for task selection. It does not help the agent decide when to infer schema vs. using siblings like extract_from_flow or get_api_patterns. Missing context about required flow conditions.

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

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, meaning description does not explain the single parameter 'flow_id'. Although its purpose is implied by context, the description should explicitly state that flow_id identifies the flow whose response body is used. Fails to compensate for low coverage.

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 uses specific verb 'Infer' and resource 'schema from a flow's JSON response body', clearly stating the tool's function. It distinguishes from sibling tools like inspect_flow (inspects details) and extract_from_flow (extracts data) but could be more precise, e.g., 'generates a JSON schema'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool vs alternatives like inspect_flow or get_api_patterns. No mention of prerequisites, when to avoid, or context where inference is appropriate.

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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