Skip to main content
Glama
soil-dev

capsulemcp

batch_update_party

Update 1–50 parties in parallel with a single request. Use for mass owner reassignment, bulk metadata corrections, and other homogeneous multi-record writes. Returns per-item results and a summary.

Instructions

Update 1–50 parties in parallel. Same input shape as update_party but wrapped in an items array. Use this — not N sequential update_party calls — for any homogeneous multi-record write (mass owner reassignment, bulk metadata corrections, etc.). Capsule has no batch-write API, so the connector fans out parallel HTTP requests with a default concurrency cap of 5 (configurable via CAPSULE_MCP_BATCH_CONCURRENCY). Returns { results: [{ok, ...} per item], summary: {total, succeeded, failed} }. Partial failures are possible — Capsule has no rollback, so successful items stay applied even if other items 4xx. Read the per-item result array to know which ones need follow-up.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesArray of 1–50 update_party inputs. Each item is the same shape as a single update_party call — id is required, every other field is optional. Capped at 50 so a single tool call can't burn an outsized share of Capsule's hourly per-token rate budget (~4000 req/h).
Behavior5/5

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

Annotations already indicate write (readOnlyHint=false) and non-destructive (destructiveHint=false). The description adds rich behavioral context: parallel HTTP requests, concurrency cap, return structure with per-item results, partial failure handling, and no rollback. 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.

Conciseness5/5

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

Four sentences, front-loaded with purpose, followed by usage guidance, technical behavior, and return/error handling. Every sentence is informative with no 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 tool's complexity (batch update with concurrency, partial failures) and the absence of an output schema, the description fully equips the agent: it explains the input shape, parallelism, concurrency settings, return format, and how to handle partial failures. No gaps remain.

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 100% with a detailed schema comment on the 'items' parameter. The description adds value by clarifying the input is the same shape as update_party wrapped in an array, and reinforces the 50-item cap. This enhances understanding beyond the schema alone.

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 verb 'update', resource 'parties', and scope '1–50 in parallel'. It distinguishes itself from sibling update_party by noting the batch pattern, making its purpose unambiguous.

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?

Explicitly advises to use this instead of N sequential update_party calls for homogeneous multi-record writes, with concrete examples (mass owner reassignment, bulk metadata corrections). Also covers technical details (concurrency cap, configurability) that help the agent decide when to invoke.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/soil-dev/capsulemcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server