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meta_ads_conversions_send_lead

Send a Lead event through Meta Conversions API to track form submissions, trial signups, and demo requests. Pass raw PII; identifiers are SHA-256 hashed before delivery.

Instructions

Sends a single Lead event via the Meta Conversions API. Returns Meta's events_received acknowledgement. Mutating on Meta's side. Use for form submissions, trial signups, demo requests — anything where a prospect identifies themselves but no money changes hands. For money-moving events use meta_ads_conversions_send_purchase. For non-standard event names use meta_ads_conversions_send.

Input Schema

NameRequiredDescriptionDefault
reasonNoWhy this change is being made: one or two sentences naming the evidence and the expected effect. Stored in the journal and on the action_log entry this call produces, for the operator and the next session.
approvalNoExternal approval this change carries out (recorded and shown, never verified)
expectedNoExpected effects [{metric, direction, target?, horizon_days?, primary?}], exactly one primary:true when several; metric cpa/cpc/cpl/cpm/conversions/cvr/ctr/roas/cost/spend/clicks/impressions; direction up/down/hold.
pixel_idYesMeta Pixel ID the event is attributed to. Find via meta_ads_pixels_list. CAPI events flow into the same pixel as browser events; dedupe happens on event_id if one is supplied in user_data / custom_data.
user_dataYesUser identifying fields for attribution. Supported keys: em (email), ph (phone), fn (first_name), ln (last_name), zp (zip), ct (city), st (state), country, external_id, client_ip_address, client_user_agent, fbc (click ID), fbp (browser ID). mureo hashes em / ph / fn / ln / zp / ct / st / country / external_id with SHA-256 before sending — pass raw PII; do not pre-hash.
account_idNoMeta Ads account ID in the format 'act_XXXXXXXXXX' (e.g. 'act_1234567890'). Optional — falls back to META_ADS_ACCOUNT_ID from the configured credentials. The leading 'act_' prefix is required.
event_timeYesUNIX timestamp (seconds) the lead occurred. Must be within the last 7 days.
decision_idNoA proposed decision this change carries out.
test_event_codeNoMeta Events Manager test_event_code. When set, the event is routed to the test event stream visible in Events Manager instead of production reporting. Use for validation; drop the field once verified. Get the code from Events Manager → Test Events tab.
event_source_urlNoFully-qualified URL where the event occurred. Required by Meta for action_source='website' events; recommended for any browser-triggered CAPI event to improve attribution match rate.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.33.0
    • changedInput schema / properties / expected / description
      Previous value: -"Expected effects [{metric, direction, target?, horizon_days?}]; metric cpa/cpc/cpl/cpm/conversions/cvr/ctr/roas/cost/spend/clicks/impressions; direction up/down/hold."New value: +"Expected effects [{metric, direction, target?, horizon_days?, primary?}], exactly one primary:true when several; metric cpa/cpc/cpl/cpm/conversions/cvr/ctr/roas/cost/spend/clicks/impressions; direction up/down/hold."
  2. Changed1 schema field changedv0.28.0
    • addedInput schema / properties / approval
      Added value: +{
      +  "additionalProperties": false,
      +  "description": "External approval this change carries out (recorded and shown, never verified)",
      +  "properties": {
      +    "approved_at": {
      +      "maxLength": 64,
      +      "type": "string"
      +    },
      +    "approved_by": {
      +      "maxLength": 80,
      +      "type": "string"
      +    },
      +    "reference": {
      +      "maxLength": 128,
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "reference",
      +    "approved_by",
      +    "approved_at"
      +  ],
      +  "type": "object"
      +}
  3. Changed2 schema fields changedv0.26.0
    • addedInput schema / properties / decision_id
      Added value: +{
      +  "description": "A proposed decision this change carries out.",
      +  "maxLength": 128,
      +  "minLength": 1,
      +  "type": "string"
      +}
    • addedInput schema / properties / expected
      Added value: +{
      +  "description": "Expected effects [{metric, direction, target?, horizon_days?}]; metric cpa/cpc/cpl/cpm/conversions/cvr/ctr/roas/cost/spend/clicks/impressions; direction up/down/hold.",
      +  "maxItems": 12,
      +  "type": "array"
      +}
  4. Changed1 schema field changedv0.20.0
    • addedInput schema / properties / reason
      Added value: +{
      +  "description": "Why this change is being made: one or two sentences naming the evidence and the expected effect. Stored in the journal and on the action_log entry this call produces, for the operator and the next session.",
      +  "maxLength": 500,
      +  "type": "string"
      +}
  5. Changed1 schema field changedv0.10.37
    • addedInput schema / additionalProperties
      Added value: +false
  6. Addedv0.9.12
  7. Removedv0.9.6
  8. Addedv0.9.2
  9. Removedv0.9.1
  10. Addedv1.0.5

TDQS

A4.4/5.0
Behavior4/5

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

No annotations exist, so the description must carry the safety profile — it does disclose that the operation is mutating on Meta's side and that the response is an events_received acknowledgement. It stops short of covering failure modes, retry/duplicate behavior, or rate limits, which leaves some burden on the agent for a 10-parameter write tool.

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?

Four short sentences, front-loaded with what the tool does, followed by the return value, the mutation caveat, and the sibling routing. Every sentence carries distinct information with no repetition.

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?

Covers purpose, return shape (compensating for the absent output schema), mutation semantics, and sibling selection, which is most of what a caller needs. Given 10 parameters and nested user_data, it could have added a note on the required trio or the hashing expectation, though the schema already covers both.

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%, so every parameter is already documented in detail, including PII hashing behavior, the 7-day event_time window, and test stream routing. The description adds no parameter-level guidance beyond the schema, which is the expected baseline-3 outcome 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.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ("Sends a single Lead event via the Meta Conversions API") and immediately contrasts itself with two siblings, meta_ads_conversions_send_purchase and meta_ads_conversions_send. An agent can identify this tool's niche without opening any schema.

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?

Gives explicit inclusion criteria (form submissions, trial signups, demo requests — "no money changes hands") and explicit routing rules to the two alternative tools for money-moving and non-standard events. This is the when/when-not/alternatives pattern at full strength.

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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