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adops-tool

LinkedIn Ads MCP Toolkit

by adops-tool

list_conversions

Read-onlyIdempotent

Retrieve all conversion tracking rules for a LinkedIn Ad Account to see conversion names, types, attribution windows, and enabled status. Filter to show only enabled conversions.

Instructions

Lists all conversion tracking rules configured for an account. Shows conversion names, types, attribution windows, and enabled status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountIdYesThe LinkedIn Ad Account ID
enabledOnlyNoOnly show enabled conversions. Default: false

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful context by listing the shape of returned fields and the account scoping, but says nothing about pagination, result limits, or permissions.

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 short sentences, front-loaded with the verb and resource, with the second sentence earning its place by previewing the returned fields. No filler.

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 full annotation coverage and complete parameter documentation, the description is nearly sufficient; listing the returned fields compensates for the absent output schema. Only the lack of any routing hint toward get_conversion_performance keeps it from being fully complete.

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 both accountId and the enabledOnly filter are fully documented in the schema; the description adds no syntax or format detail beyond it. Baseline 3 is appropriate when the schema does the heavy lifting.

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?

States a specific verb (Lists) and resource (conversion tracking rules) scoped to an account, and enumerates the returned fields (names, types, attribution windows, enabled status), which implicitly separates it from the performance-oriented sibling get_conversion_performance. It stops short of naming that sibling explicitly, so it is clear but not fully differentiated.

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?

There is no when-to-use or when-not-to-use guidance, and no mention of the closely named alternative get_conversion_performance. An agent must infer from 'configured for an account' that this returns configuration rather than metrics.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.