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AxonityAI

Axonity Flow MCP Server

Official
by AxonityAI

request_publish_bulk

Submit up to 200 entities for human approval in a single call. Each entry is evaluated independently; review per-entry results to avoid re-requesting successful submissions.

Instructions

Request publication of MANY entities in one call — the same human approval queue as request_publish_*, one entry per entity, up to 200. Taking a whole tenant live means hundreds of individual requests otherwise, which turns the human review it exists for into clicking through. This does NOT publish and does NOT approve: a human still decides, in Axonity.

NOT TRANSACTIONAL: each entry carries its own outcome and one failure does not undo the entries before it. The response is { results: [{ id, success, status, error }], succeededCount, failedCount }. Read the per-entry results — retrying the whole list because failedCount is non-zero double-requests everything that worked.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestsYesOne entry per entity to propose for publishing.
Behavior5/5

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

The description fully discloses behavioral traits: it is non-transactional, each entry has independent outcome, and it explains the response format. It also warns against retrying the whole list. Since no annotations are provided, the description carries the full burden and does so excellently.

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 well-structured with clear sections (behavior, response format, warnings). Every sentence is informative and earns its place, though it is slightly lengthy. Still, it maintains conciseness without 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?

Given the complexity of a bulk operation with non-transactional behavior, the description covers all necessary aspects: what the tool does, constraints (max 200), what it does not do, response format, and how to interpret results. No output schema exists, so the description compensates fully.

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 coverage is 100% for the single parameter 'requests'. The description does not add new semantic meaning about the parameter structure beyond what the schema already provides; it adds behavioral context but not parameter-specific semantics. Baseline is 3.

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 clearly states the tool's purpose: requesting publication of multiple entities in one call. It uses specific verbs ('request publication') and resource ('entities'), and distinguishes from sibling tools like request_publish_persona by emphasizing bulk capability.

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 (for many entities, up to 200) and what it does NOT do (does not publish, does not approve). It also provides guidance on non-transactional behavior and how to handle the response, making the usage context very clear.

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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