Skip to main content
Glama

List conversion sources

list_conversion_sources
Read-only

List the revenue/conversion sources connected to the active Space (Stripe, HubSpot, Salesforce, GA4, generic webhook) with their type, status, and config. Use to see which sources are feeding real conversions into Smart Bidding. 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
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).

TDQS

A4.3/5.0
Behavior4/5

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

The annotations already declare readOnlyHint=true, and the description adds useful behavioral context beyond that: it clarifies the scope (active Space), the optional override via space_id, and what is returned. No contradictions with annotations; the description does not need to state read-only because the annotation covers it.

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 three sentences, front-loaded with the core purpose, then the use case, then scope/override instructions. Every sentence adds value with no fluff or repetition of the title/schema.

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

Completeness5/5

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

For a simple read-only list tool with one optional parameter and no output schema, the description covers all needed context: what it lists, example source types, returned fields, how scope works, and how to change scope. It is complete and self-sufficient for an agent to invoke correctly.

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%: the only parameter (space_id) is thoroughly described in the schema, including its pattern and default behavior. The description mentions the same override behavior but adds no new parameter details beyond 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 sources connected to the active Space, with a specific verb ('List') and resource ('revenue/conversion sources'), plus examples of source types and returned fields (type, status, config). It distinguishes itself from sibling tools like create_conversion_source and list_conversion_actions by focusing on reading existing sources.

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

Usage Guidelines4/5

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

It explicitly tells the agent when to use the tool: 'Use to see which sources are feeding real conversions into Smart Bidding.' It also gives clear context about space scoping and directs to set_active_space for switching or to pass space_id for override. It does not mention explicit alternatives or when-not-to-use cases, but the guidance is sufficient for correct selection.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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