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List conversions

list_conversions
Read-onlyIdempotent

Raw conversion rows (leads, sales, rejects, upsells), newest first, cursor-paginated (next_cursor, null on the last page).

Input Schema

NameRequiredDescriptionDefault
osNo
ispNo
cityNo
siteNoPlacement / zone id as passed by the ad network
sub1NoFilter by sub1
sub2NoFilter by sub2
sub3NoFilter by sub3
sub4NoFilter by sub4
sub5NoFilter by sub5
sub6NoFilter by sub6
sub7NoFilter by sub7
sub8NoFilter by sub8
sub9NoFilter by sub9
userNoWorkspace member id(s), comma-separated — the campaign owner at click time (needs the "See statistics per team member" permission; ignored otherwise)
eventNo
limitNo
offerNoOffer id
sub10NoFilter by sub10
sub11NoFilter by sub11
sub12NoFilter by sub12
sub13NoFilter by sub13
sub14NoFilter by sub14
sub15NoFilter by sub15
cursorNo
deviceNomobile / tablet / desktop
periodNoReporting period (default 7days). Use 'custom' with date_from/date_to.
sourceNoTraffic source id
statusNo
browserNo
countryNoCountry ISO alpha-2 code, e.g. ES
date_toNoYYYY-MM-DD (with period=custom)
landingNoLanding id
campaignNoCampaign ALIAS (the short code, not the numeric id)
click_idNo
creativeNoCreative id from the click URL
languageNo
pwa_tagsNoComma-separated tag ids — pwas carrying any of them
referrerNo
utm_termNoExact utm_term value from the click URL
date_fromNoYYYY-MM-DD (with period=custom)
pwa_groupNoPwa group id
smartlinkNoSmartlink id
source_idNoSource id as passed by the ad network
offer_tagsNoComma-separated tag ids — offers carrying any of them
utm_mediumNoExact utm_medium value from the click URL
utm_sourceNoExact utm_source value from the click URL
ad_campaignNoThe ad network's own campaign id (external_campaign_id)
aff_networkNoAffiliate network id
offer_groupNoOffer group id
source_tagsNoComma-separated tag ids — sources carrying any of them
unique_onlyNoCount unique clicks only
utm_contentNoExact utm_content value from the click URL
exclude_botsNoExclude bot traffic (bots are counted by default)
landing_tagsNoComma-separated tag ids — landings carrying any of them
source_groupNoSource group id
utm_campaignNoExact utm_campaign value from the click URL
campaign_tagsNoComma-separated tag ids — campaigns carrying any of them
landing_groupNoLanding group id
campaign_groupNoCampaign group id
smartlink_tagsNoComma-separated tag ids — smartlinks carrying any of them
connection_typeNo
smartlink_groupNoSmartlink group id

Schema Changelog

Changes observed during successful MCP inspections.

No schema history has been recorded yet.

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, so safety is covered; the description adds genuinely new behavior: newest-first ordering and cursor semantics with next_cursor returning null on the last page. The 'cursor' parameter has no schema description, so this is the only place pagination behavior is documented. It stops short of mentioning rate limits, default result count, or row contents.

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?

A single dense sentence that front-loads the resource, then the row kinds, then ordering and pagination. Every clause carries information and nothing is padded.

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

Completeness3/5

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

For a 62-parameter tool with no output schema, the description covers what rows are returned, sort order, and pagination, which is the core calling contract. It omits what columns a conversion row actually contains and how the large filter set combines (AND vs. multi-value tag OR), leaving genuine gaps for a tool this complex.

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 81%, so the schema already carries most parameter meaning (period default, custom date range, tag id lists, permission note on 'user'). The description adds no filtering semantics beyond repeating the event types that the enum already lists, so 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?

States a concrete resource (raw conversion rows) and enumerates the row kinds it returns (leads, sales, rejects, upsells), which is more specific than the name alone. It does not, however, explicitly separate itself from near siblings like list_clicks, list_transactions, or get_statistics, so an agent must infer the difference.

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 guidance at all: nothing says when to prefer this raw-row listing over get_statistics (aggregates), list_transactions, or import_conversions. The word 'Raw' hints at unaggregated output but no alternative is named and no prerequisite is stated.

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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