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bulk_update_flows

Batch-edit up to 50 flows in ONE call — every PLURAL flow edit ("rename the holiday flows"). FIRST call: describe the set with filter {status, nameContains} and the server expands it; pass explicit flowIds only when you already hold them. Never fan out per-flow tools, never list first. Patches identity fields (name, description) only — not graph or status. Per-item results; partial failures don't abort the rest.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patchYes
filterNo
flowIdsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden and does disclose key traits: the 50-flow cap, that only name/description are patched (not graph or status), and that partial failures do not abort the rest. However, it does not clarify what happens if a filter matches more than 50 flows, whether `filter` is required, or how `filter` and `flowIds` interact when both are supplied.

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?

The text is dense and front-loaded: the key message, batch limit, and use case appear in the first sentence, and each subsequent sentence earns its place with a distinct behavioral or usage constraint. The high-contrast formatting (caps and code ticks) aids quick parsing.

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?

Given there is no output schema and no annotations, the description covers the essential operational model, parameter roles, and partial-failure behavior. It is slightly incomplete on edge cases like an oversized filter expansion, response shape, and the exact validity of a `patch`-only call, which an agent would need for fully reliable invocation.

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 description coverage is 0%, so the description must compensate, and it does: it explains that `filter` {status, nameContains} describes the set for server-side expansion, `flowIds` is only for when IDs are already known, and `patch` covers identity fields only. It does not elaborate on valid status values or whether `filter` and `flowIds` are mutually exclusive, so it is strong but not exhaustive.

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 a specific, scoped action: 'Batch-edit up to 50 flows in ONE call', then narrows the resource to 'every PLURAL flow edit' and explicitly limits patches to identity fields (name, description). This clearly differentiates it from single-flow tools like update_flow and from structural tools like add_edge or delete_flow.

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 gives direct when-to-use guidance: use it for plural flow edits, describe the set with `filter` first, pass `flowIds` only when already held, and 'never fan out per-flow tools, never list first'. This explicitly routes the agent away from per-flow alternatives and states the intended calling pattern.

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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