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List conversion actions

list_conversion_actions
Read-only

List the conversion actions in the active Space — what this account counts as a conversion, and how each one is configured (type, category, value settings, lookback windows). Use before uploading a conversion so it lands on the right action. Scoped to the active Space — see set_active_space to switch, or pass space_id to override for this one call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax rows to return (default 50, max 200).
cursorNoOpaque cursor from a previous page's meta.nextCursor.
space_idNoOverride the active Space for this one call. Defaults to the active Space set via set_active_space (or GROWOMAT_SPACE_ID on the server). Pass to read/write a different Space without changing the session binding.

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the read-only nature is covered. The description adds behavioral context about space scoping—that it's scoped to the active Space and can be overridden with space_id—which goes beyond annotations. It doesn't mention pagination, but the schema covers limit/cursor.

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?

The description is two sentences, front-loaded with purpose, and every sentence earns its place. No redundancy or 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?

For a listing tool with no output schema and simple optional parameters, the description provides a clear picture of purpose, usage context, and scoping. It could explicitly mention pagination behavior, but the schema already documents limit and cursor, making it sufficiently 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?

All parameters (limit, cursor, space_id) have descriptions in the schema, providing 100% coverage. The description adds no new parameter semantics beyond restating the space_id override behavior already documented in the schema, so baseline 3 is appropriate.

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 the tool lists conversion actions in the active Space and describes the configuration details returned (type, category, value settings, lookback windows). This specific verb+resource+scope distinguishes it from siblings like get_conversion_action or list_conversion_sources.

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

Usage Guidelines5/5

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

The description explicitly says 'Use before uploading a conversion so it lands on the right action' and provides scoping guidance, referencing set_active_space and the space_id override. This gives clear when-to-use context and mentions alternatives.

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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TDQS

A3.6/5.0
Disambiguation4/5

Most tools follow a clear resource+action pattern (get_ad, update_ad, delete_ad), so entity-level tools are easy to distinguish. The main ambiguity is among reporting/status tools like get_conversion_status, get_conversion_health, get_conversion_report, and account_summary vs. get_performance_stats, which could tempt misselection without reading descriptions.

Naming Consistency5/5

Naming is highly consistent: nearly every resource has create_/get_/update_/delete_/list_ variants, with predictable special verbs like set_, trigger_, preview_, and upload_. Minor exceptions like account_summary or get_angle_readout still follow the same readable verb-driven style.

Tool Count1/5

83 tools is an extreme surface for an MCP server, even one covering ad management. Most entities have full CRUD plus many custom readouts and report variants, which creates context bloat and makes tool selection unnecessarily expensive for the agent.

Completeness4/5

The platform covers the full campaign lifecycle: campaigns, ad groups, ads, keywords, assets, business/creative planes, conversion actions, sync, budget, and targeting are all represented. Minor gaps exist—conversion sources have create/list but no get/update/delete, and there is no explicit way to update or remove a conversion source—but these can be worked around.

Resources