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Import an auto reply template

sprkly_import_automation_template

Read an auto reply template, and optionally set it up. With no profile_id NOTHING is written: the template is checked and handed back, which is the safe first call. With a profile_id the automation is created, and it goes live when the trigger can be satisfied. A keyword or every-comment trigger needs post_id as well; without one it saves as a draft that sends nothing until a post is chosen.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
post_idNoThe published post to watch. Needed for a keyword or every-comment trigger.
templateYesThe template, as an object or as the file text.
profile_idNoThe Instagram account to set it up on. Leave this out to only check the template.

TDQS

A4.9/5.0
Behavior5/5

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

It clearly discloses conditional write behavior: no profile_id writes nothing, while profile_id creates an automation that can go live when the trigger is satisfied. It also explains that without post_id the result is a non-sending draft. This goes well beyond the annotations, which only state readOnlyHint=false.

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 dense sentences deliver all essential behavioral rules without fluff. The opening sentence front-loads the core purpose, and the conditional logic is organized logically from safest to most concrete usage.

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?

Given the parameter count and nested-object schema, the description covers all decision-relevant aspects: read vs. write behavior, trigger-specific requirements, and draft behavior. No critical gap remains for an agent deciding how and when to invoke this tool.

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 coverage is 100%, so the baseline is 3, but the description adds meaningful conditional semantics: profile_id controls read vs. write, and post_id is conditionally required based on trigger type. This enriches the schema descriptions with usage context.

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 states a clear verb and resource: it reads an auto reply template and optionally sets it up. It also resolves the apparent 'import' ambiguity by explaining that the safe first call is read-only. This differentiates it from siblings like sprkly_export_automation_template.

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 says when to use which mode: no profile_id means nothing is written and is the safe first call; with profile_id the automation is created. It also explains the post_id requirement for keyword/every-comment triggers and the draft fallback, giving concrete selection criteria.

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

A4.3/5.0
Disambiguation5/5

Every tool targets a distinct action and resource: media ingestion, draft creation, scheduling, deleting, updating, validation, approval, analytics, and account/profile listing. The only slight overlap is between sprkly_list_profiles and sprkly_list_scheduled_posts, but they serve clearly different purposes (target selection vs. queue view).

Naming Consistency5/5

All 16 tools follow the exact sprkly_verb_noun pattern with lowercase snake_case. Verbs are consistent (add, delete, draft, get, list, request, schedule, update, validate) and nouns are clear (media, scheduled_post, account_summary, analytics, profiles, etc.). No style mixing or vague naming.

Tool Count4/5

16 tools is slightly above the typical 3–15 sweet spot but each tool covers a distinct part of the content-scheduling lifecycle. The count feels justified given the breadth of features (media, drafts, scheduling, approvals, analytics), though a few tools could be merged (e.g., get_account_summary could be part of analytics) without much loss.

Completeness4/5

The surface covers the core workflows well: draft, schedule, update, delete, approve, validate, and analyze. Minor gaps exist—there's no explicit tool to list drafts or edit a draft after submission, and no direct way to unpublish or cancel an approval—but the domain is well-served for typical scheduling needs.

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