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azuostech

MCP Marketing Analytics

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by azuostech

field_discovery

List available fields for a given marketing data source to understand its structure and plan analytics queries.

Instructions

List available fields for a given marketing data source

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchNo
sourceNo
Behavior2/5

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

With no annotations, the description carries the full burden; it only states a read-like action but fails to disclose behavioral aspects such as permissions, rate limits, or response behavior, and doesn't clarify what happens without a source.

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 concise sentence with no redundant words, front-loading the action and resource effectively.

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 that there are no annotations, no output schema, and sparse schema descriptions, the description is incomplete: it lacks parameter explanations (especially 'search'), usage context, and behavioral details, making it insufficient for reliable tool selection.

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 description coverage is 0%, and the description only indirectly explains 'source' (as the marketing data source); the 'search' parameter is completely undocumented in both schema and description.

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 uses a specific verb 'List' and resource 'available fields' with scope 'for a given marketing data source,' clearly distinguishing from sibling tools like data_source_discovery and accounts_discovery.

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 is provided on when to use this tool versus alternatives; the description merely implies usage for listing fields, without specifying prerequisites or comparing to data_source_discovery/accounts_discovery.

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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