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Autonomad1

Computeback MCP — Agent rewards marketplace + CB Hire

get_audience_data

Retrieve a paginated subset of an uploaded audience list, with each access audit-logged. Returns rows according to the defined schema.

Instructions

Read a paginated slice of an audience upload (e.g. an email list a business uploaded). Each access is audit-logged. Returns rows keyed by the schema columns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
business_idYesThe Computeback business id whose audience you're reading
audience_idYesThe audience upload id
pageNo1-indexed page number
page_sizeNoRows per page (max 500)
task_idNoOptional offer/task id for audit-trail correlation
Behavior3/5

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

With no annotations, the description mentions audit logging and return format (rows keyed by schema columns). However, it lacks details on side effects beyond logging and whether it is read-only.

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 concise sentences covering purpose, audit logging, and return format with no fluff.

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 no output schema and 5 params, the description provides essential context but could elaborate on return data structure and constraints (e.g., ordering). Still, it is fairly complete for a read operation.

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%, so the description adds minimal value beyond what the schema already provides. The description aligns with the page/page_size params but does not elaborate further.

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 it reads a paginated slice of audience upload data, with specific verb and resource. It distinguishes from siblings like list_audiences by focusing on the data rows.

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

Usage Guidelines3/5

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

The description implies usage for reading audience data but does not explicitly guide when to use this vs. alternatives. No when-not-to-use context is provided.

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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