Skip to main content
Glama
soil-dev

capsulemcp

batch_update_party

Update multiple parties simultaneously using parallel requests. Handles bulk modifications like owner reassignment or metadata corrections, returning per-item results and success/failure 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 indicate write (readOnlyHint=false) and not destructive (destructiveHint=false). Description adds critical behavioral context: partial failures are possible, no rollback, and successful items persist even on others' errors. Contradiction is false.

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 thorough but not overly verbose; each sentence serves a purpose. Front-loaded with the core action. Could be slightly tightened, but structure is effective.

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?

With no output schema, description fully explains the return value structure. Covers concurrency, limits, and partial failure semantics. Complete for a batch-mutation tool with rich annotations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but description adds meaning beyond schema: explains batch fan-out, concurrency cap of 5, return shape with per-item results and summary, and the 50-item limit tied to rate budget.

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 'Update 1–50 parties in parallel' and distinguishes from sibling update_party by noting the items array wrapper. Verb (update) and resource (parties) are explicit.

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 'Use this — not N sequential update_party calls' for bulk writes, and provides examples like mass owner reassignment. Also discusses concurrency config and partial failure handling.

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