Skip to main content
Glama

Create Verification Run

create_verification_run

Create a run that finds the CONTACTS in a scope whose email is DEAD. It does nothing until dispatched. It reads the CRM's own bounce record first, at no cost (Salesforce's bounce fields; HubSpot's invalid-address and hard-bounce properties), then, when the tenant has connected an email-verification provider, checks the rest with it, spending one verification per address, at most check_cap of them (default 10,000). The connection's verification rules, a template of tool_type verification, decide how recently checked an address may be and still stand (30 days by default), which results count as dead (invalid and disposable by default), and whether a dead result writes the CRM's bounce date and reason. On its own it lists the dead emails, readable through get_run_records. In a staged plan, put it before the Contact Enrichment run: a contact with a dead email is then not enriched and goes to the Job Change run, unless the data provider still reports the same company, in which case it is enriched and its email replaced.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesA name for the run, shown in the Runs tab. It finds the contacts whose email is dead.
check_capNoThe most email addresses this run sends to the verification provider, least recently checked first; the next run continues where it stopped. This is the run's spend limit. Default 10,000.
filter_specNoWhich records this run covers, as a filter tree. Omit for the whole object. It DESCRIBES a population and is resolved when the run is DISPATCHED, so write what you mean -- the CRO at Skypoint is `account_name is Skypoint AND title contains CRO` -- and never look a record up to write one. You need no ids and no counts. Call list_filterable_fields first, for the field names and operators only.
connection_idYesThe CRM connection. Required. Call list_crm_connections to get one.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / check_cap / description
      Added value: +"The most email addresses this run sends to the verification provider, least recently checked first; the next run continues where it stopped. This is the run's spend limit. Default 10,000."
  2. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Annotations only declare the safety profile (readOnly false, destructive false, openWorld false); the description goes far beyond by disclosing the two-stage cost model (free CRM bounce lookup first, then provider checks at one verification per address), the check_cap spend limit with least-recently-checked ordering and continuation across runs, the conditional provider dependency, the default rule thresholds (30 days, invalid+disposable), and the side effect of writing the CRM's bounce date and reason. This is unusually rich behavioral disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core purpose is front-loaded and most sentences carry information, but the definition is dense and sprawling, and the parenthetical internal references ('runbook 2026-10-01', 'app/foundation/verification/templates.py') are meaningless to an agent. A fair amount of the staging/cost material is also restated in the schema description, so the length is not fully earned.

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 complex, multi-stage run-creation tool with no output schema, the description covers the execution model, cost, dispatch dependency, downstream run ordering, configuration defaults, and side effects. Nothing an agent needs to decide whether and how to call it is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3, but the description adds real meaning: it reframes check_cap as the run's SPEND limit with ordering/continuation semantics, explains that filter_spec is a population descriptor resolved only at dispatch (so no ids or counts are needed), and states the scope is always contacts. That is genuine value beyond the schema text.

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 ('Create a run that finds the CONTACTS in a scope whose email is DEAD') and immediately distinguishes itself from the sibling create_* run tools by naming its population (contacts with dead emails) and its output surface (readable through get_run_records). An agent can tell it apart from create_enrichment_run or create_job_change_run without opening a 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?

Explicitly says 'It does nothing until dispatched' (pointing at dispatch_run), names the ordering constraint in a staged plan ('put it before the Contact Enrichment run'), and describes the downstream branching to Job Change. This is when-to-use, prerequisite, and alternative-selection guidance all in one.

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.