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Snapchat audiences

snapchat_audiences
Read-only

Custom, lookalike and pixel audiences (segments) with type, size and status, to use in ad squad targeting.

Input Schema

NameRequiredDescriptionDefault
folderNoClient folder name.
accountNoSnapchat ad account name or ID. Optional when only one is enabled.
languageNoLanguage of the card: the language the user is writing in.

Schema Changelog

Changes observed during successful MCP inspections.

No schema history has been recorded yet.

TDQS

A3.5/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds that results carry type, size and status, which tells the agent roughly what comes back, but says nothing about volume, pagination or freshness. With annotations doing the heavy lifting, this is a modest but real addition.

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?

A single compact sentence with no filler, and the most identifying information (audience types) is front-loaded. It is slightly too terse in that the operation itself must be inferred from the attribute list.

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?

For a read-only listing tool with complete schema coverage and no output schema, the description covers the resource scope and the shape of the returned fields. The main omission is any hint of result volume or how audiences are identified for follow-on targeting calls.

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 description coverage is 100%, so folder, account and language are already fully documented in the schema, including the enum values for language. The description adds no meaning beyond that, so the baseline 3 applies.

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 names the specific resource (audiences/segments) and enumerates the variants it covers (custom, lookalike, pixel) plus the attributes returned (type, size, status). The retrieval verb is only implied by the attribute list rather than stated, and it is not contrasted against nearby siblings such as snapchat_pixels or snapchat_update_targeting.

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 trailing phrase 'to use in ad squad targeting' gives a downstream use context, which is better than nothing, but there is no explicit statement of when to call this versus other Snapchat tools or when not to call it. Usage is implied rather than prescribed.

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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