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AfterLaunch: the agentic growth marketing engine

report_job

Carry a claimed job's state back: 'running' when you start, 'shipped' the moment the marketing work is actually live, 'failed' with a fail_reason when you cannot finish. WHEN: at each of those moments, unprompted. The founder does not watch you work, so the state you report is all they see, and AfterLaunch measures what a move earns only once it knows it is live. Report only what is true: drafted, staged and awaiting review are not shipped. Free; requires the 'act' scope. Pass asset_url and receipt_url when the work published something.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateYes
job_idYesJob id (uuid), from list_queue.
asset_urlNoThe live URL of what was published.
fail_reasonNoRequired with 'failed': what stopped you.
receipt_urlNoA permalink to the proof.
session_urlNoYour own session URL, if you have one.

TDQS

A4/5.0
Behavior4/5

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

The description adds meaningful behavior beyond the sparse annotations: it discloses the 'act' scope requirement and explains the real-world consequence of late or inaccurate reporting ('AfterLaunch measures what a move earns only once it knows it is live'). It also stresses truthfulness. No contradiction with annotations.

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

Conciseness4/5

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

The description is compact and front-loaded with the core action, then the WHEN guidance. It is slightly repetitive ('Report only what is true' is re-emphasized by the drafted/staged/awaiting-review exclusion), but the extra context earns its place for an agent that must self-report progress.

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?

For a state-reporting tool with no output schema, the description covers when to call, what each state means, the auth scope, and conditional parameters. It does not mention return values, but this is a low-risk, state-transition tool where the response is likely a simple acknowledgment; the essentials are present.

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 already 83%, and the description enriches the state enum by mapping each value to a moment ('running' when you start, 'shipped' once live, 'failed' with a reason). It also clarifies when asset_url and receipt_url should be passed, which complements the schema's parameter descriptions.

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?

The description clearly states a specific action ('Carry a claimed job's state back') and defines the three state values with concrete meanings. It distinguishes what counts as 'shipped' vs. not, though it never names sibling tools like pick_up_job or ship_move, so the differentiation is implicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The 'WHEN:' section explicitly tells the agent at which moments to call the tool and emphasizes reporting unprompted. It also provides a clear when-not-to-ship rule ('drafted, staged and awaiting review are not shipped'). It falls short of naming alternatives, but the timing guidance is strong.

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

A3.9/5.0
Disambiguation4/5

Most tools follow a clear action+resource pattern (get_, list_, set_, ship_, etc.) with distinct purposes. A few boundaries could cause confusion, such as get_move vs get_output (both return drafts) and ship_move vs set_output_status (both mark things shipped), though descriptions mitigate this sufficiently.

Naming Consistency4/5

The overwhelming majority use consistent snake_case verb_noun naming (list_feed, ship_move, get_visibility). The only outlier is 'whoami', a common convention but not verb_noun; otherwise the pattern is highly predictable.

Tool Count2/5

At 41 tools, the surface is well over the 25-tool threshold for 'too many'. While the domain is broad, this volume places significant cognitive load on agents and suggests some consolidation or modularization could help.

Completeness3/5

Core workflows for moves and outputs are covered (create/list/get/update/ship/skip/undo). However, the tool descriptions reference 'approve_output' as the publishing action, yet that tool is absent from the list, leaving a dead end for channel distribution. There are also no tools for editing competitors or managing Memory pages beyond recording insights.