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leadmarina

Delete an automation

delete_automation
DestructiveIdempotent

Permanently delete an automation. This cannot be undone — confirm with the user first, and prefer update_automation with active=false if they only want it to stop for now. Leads already collected by past runs are kept; only the schedule is removed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe automation id from list_automations.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
noteNo
deletedYes

TDQS

A4.7/5.0
Behavior5/5

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

Annotations declare destructiveHint=true and readOnlyHint=false, but the description adds substantial context: the deletion is irreversible, leads already collected are retained, and only the schedule is removed. This goes well beyond the annotations and fully discloses the operational impact.

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?

Three tightly written sentences, each earning its place: the first states the action, the second adds critical safety guidance, and the third clarifies behavioral consequences. No filler or redundancy.

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 single-parameter destructive mutation, the description fully covers prerequisites (confirmation), alternatives (disable instead of delete), effects (schedule removed, leads kept), and irreversibility. An output schema exists, so return-value details are not required. The description is self-sufficient.

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?

The schema already provides 100% coverage for the single required parameter, id, and explicitly states it comes from list_automations. The description does not add parameter-specific details, but with complete schema coverage the baseline of 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 opens with 'Permanently delete an automation,' using a specific verb and resource while clearly distinguishing this from the sibling update_automation. It also clarifies the destructive nature, leaving no ambiguity about the tool's purpose.

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 states when to use this tool and when not to, recommending update_automation with active=false as a less destructive alternative for temporary suspension. It also instructs the agent to confirm with the user first, providing direct guidance for safe invocation.

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

A4.5/5.0
Disambiguation5/5

Each tool has a distinct purpose: search_leads runs live searches while query_leads filters collected leads; create/delete/update_automation form a clear lifecycle; list_* tools target different resources. Descriptions explicitly disambiguate potential overlaps like search/query and list_searches/list_views.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (e.g., create_automation, list_integrations, export_leads). The verbs are semantically appropriate (get, list, search, query, create, update, delete, enrich, export) and the pattern is uniform throughout.

Tool Count5/5

13 tools is well within the ideal range and covers the full lead-generation workflow without redundancy. Each tool addresses a concrete need, from searching and enrichment to export and automation management.

Completeness5/5

The tool set covers the entire lifecycle: search_leads and enrich_domains acquire leads, get_search_results and query_leads retrieve them, export_leads pushes them out, and automations re-run searches on schedule. Integration checking and balance are also included, leaving no obvious dead ends or missing essential operations.

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