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toddstoffel

FairCom MCP Server

by toddstoffel

test_integration_table_transform_steps

Test integration table transform steps against sample records to verify correctness before applying them to live data.

Instructions

Test an integration table's transform steps against records before applying them for real.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dry_runNo
payloadNo
confirm_writeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries the burden of disclosing behavior. It suggests the tool is non-destructive ('before applying them for real'), but it does not disclose the effects of parameters like 'dry_run' or 'confirm_write', nor does it mention permissions, rate limits, or potential side effects. This is a significant gap for a tool that may have write behavior via 'confirm_write'.

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 a single, well-structured sentence that immediately states the purpose. No filler or redundant information. It is appropriately sized for a tool aimed at testing, though it could be slightly richer in detail.

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 tool has three parameters, no annotations, and an output schema, the description should provide more context about the testing flow, what happens with different parameter combinations, and the expected behavior. The current description is too minimal to fully guide an agent in using this tool effectively, especially regarding the rollout aspect and the meaning of 'real' application.

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

Parameters1/5

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

Schema description coverage is 0% and the description adds no meaningful information about the three parameters ('dry_run', 'payload', 'confirm_write'). It only vaguely references 'records' without explaining how they map to the payload parameter. The description fails to compensate for the schema's lack of parameter descriptions.

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 a specific action ('Test') on a specific resource ('an integration table's transform steps') with a specific scope ('against records before applying them for real'). It distinguishes this from sibling tools by focusing on the testing/validation aspect rather than listing, creating, or deleting tables.

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 for when to use the tool: to test transform steps against records before applying them for real. This implies a dry-run validation purpose. However, it does not explicitly mention when not to use it or name alternative tools, so it falls just short of a 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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