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list_profiles

Retrieve all social media profiles associated with a Sprout Social customer account to manage and analyze social presence.

Instructions

List all social profiles for a customer.

Args:
    customer_id: Sprout customer ID. Defaults to SPROUT_CUSTOMER_ID env var.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customer_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states it's a list operation (implied read-only) but doesn't mention pagination, rate limits, authentication needs, or what the output contains. This leaves significant behavioral gaps for a tool with an output schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is appropriately brief and front-loaded with the core purpose. The parameter explanation is concise but necessary. No wasted sentences, though the structure could be slightly improved by integrating the parameter note more seamlessly.

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

Completeness3/5

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

For a simple list tool with one parameter and an output schema, the description covers the basics but lacks context about sibling differentiation and behavioral details. The presence of an output schema reduces the need to describe return values, but more usage guidance would enhance completeness.

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

Parameters4/5

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

The description adds meaningful context for the single parameter by explaining that 'customer_id' is a 'Sprout customer ID' and defaults to an environment variable. Since schema description coverage is 0%, this compensates well, though it doesn't fully document format or validation rules.

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 clearly states the verb ('List') and resource ('all social profiles for a customer'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'list_customers' or 'list_users', which prevents a perfect score.

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?

The description provides no guidance on when to use this tool versus alternatives like 'list_customers' or 'get_profile_analytics'. It mentions a default environment variable but doesn't explain usage contexts or prerequisites, leaving the agent with minimal direction.

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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