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Get release ledger

get_release_ledger
Read-onlyIdempotent

THE tool for "did this piece ship on this channel" — reads the cross-channel Release Ledger, the queryable truth for every confirmed send (x/linkedin/instagram/facebook/threads, hub letters, Beehiiv) written by the publish rail itself at send time. Use this instead of title-matching or a markdown tracking doc when a reconciler or operator asks whether a piece released, where it released, or wants a recent-releases feed. Returns rows plus a per-piece coverage summary (which channels a piece is KNOWN to have shipped on — never a speculative claim about what's missing).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many recent releases to return, newest first (default 50, max 200).
sinceNoISO timestamp lower bound — only releases at/after this time.
channelNoFilter to one channel.
companyIdYesFreedomOS company id to act within (you must be a member). Required for company-scoped tools.
piece_keyNoFilter to one piece's releases (e.g. 'output:<pipeline_outputs.id>', 'idea:<content_ideas.id>', 'hub-letter:<slug>').
released_byNoFilter by who released it: 'agent', 'human', or 'system'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Annotations already declare readOnly/openWorld/idempotent, and the description adds valuable context beyond that: the ledger is written by the publish rail at send time, returns rows plus per-piece coverage summaries, and only reports KNOWN shipped channels—never speculative claims about missing sends. This is meaningful behavioral context, not a contradiction.

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?

Three dense sentences: purpose, usage, and return shape. It is front-loaded and mostly free of filler, though the parenthetical channel list partially duplicates the schema enum and the informal 'THE tool' opening adds flavor rather than information.

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?

With no output schema, the description compensates by explaining that it returns rows plus a per-piece coverage summary. The only gap is that the parenthetical channel list omits 'email' and 'slack' even though the schema enum includes them, which could slightly understate the ledger's coverage.

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 the schema already documents all six parameters. The description adds conceptual alignment by naming channels like x, linkedin, hub, and Beehiiv, but it doesn't elaborate parameter syntax beyond the schema. Baseline 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 names a specific verb and resource: it 'reads the cross-channel Release Ledger' to answer 'did this piece ship on this channel.' It clearly distinguishes this tool from title-matching or markdown tracking docs, so an agent can tell it apart from other get_* siblings.

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?

It gives explicit when-to-use guidance: a reconciler or operator asks whether a piece released, where it released, or wants a recent-releases feed. It also tells the agent to prefer this over title-matching or markdown tracking docs, leaving little to inference.

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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