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charltonmediagroup

LinkedIn Ads MCP Server

get_geo_urns

Retrieve common geographic URNs for targeting LinkedIn Ads campaigns. Use this tool to get pre-defined location URNs for audience targeting.

Instructions

Get common geo URNs for targeting (convenience helper).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. However, it only states the action without mentioning authentication, rate limits, or that it is read-only. The lack of behavioral context could lead to misuse.

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 a single sentence with no wasted words, achieving high conciseness. However, it could be restructured to include more detail without sacrificing brevity, so it loses a point for missing essential context.

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 lack of parameters and output schema, the description should elaborate on what the tool returns (e.g., structure, examples of common geo URNs). It falls short, leaving the agent underinformed about the output.

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?

The input schema has no parameters, so schema description coverage is 100%. The description adds no additional meaning beyond what the schema provides, earning a baseline score of 3.

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 tool returns common geo URNs for targeting, specifying the verb ('Get') and resource ('geo URNs'). It distinguishes itself from siblings like search_targeting_entities by being a convenience helper for predefined common items, though it could be more explicit about what 'common' entails.

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 like search_targeting_entities. The description does not mention prerequisites, scenarios, or exclusions, leaving the agent without context for appropriate invocation.

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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