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Glama

bulk_update_items

Update multiple Miro board items at once with per-item success or error results, applying data, style, position, geometry, or parent changes.

Instructions

Update many items concurrently (client-side batch; no bulk-update endpoint exists in REST).

Each entry: {"item_id": str, "item_type": str?} plus any of data, style, position, geometry, parent dicts sent verbatim. With item_type the typed endpoint is used (e.g. sticky_notes); without it, the generic position/parent endpoint. Returns per-item ok/error results.

Input Schema

NameRequiredDescriptionDefault
updatesYes
board_idYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses that batching is client-side, that field dicts are sent verbatim, and that results are per-item ok/error — signalling partial success/partial failure semantics rather than atomicity. It does not state concurrency limits, ordering, or rate-limit behavior, which matters for a batch mutation.

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?

Front-loaded with the operation and its most important caveat (client-side batch, no REST endpoint), followed by the entry shape. Dense and mostly waste-free, though the docstring-style backtick formatting is heavier than needed for an agent-facing description.

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?

An output schema exists, so return-value detail is not required, yet the description still flags per-item ok/error results. Combined with the endpoint-selection rule for item_type, an agent can invoke this correctly. Missing batch-size limits and concurrency guidance leaves a small gap for a mutation tool with no annotations.

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% and `updates` is an untyped array of free-form objects, so the description does the heavy lifting by enumerating the expected entry keys (item_id, optional item_type, plus data/style/position/geometry/parent) and how item_type changes endpoint selection. board_id is left undefined, and there is no guidance on error entry shape, so it falls short of a 5.

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?

States a specific verb and resource (update many items) and immediately scopes it as a client-side batch with no REST bulk endpoint, which distinguishes it from update_item and the create/delete bulk siblings. An agent knows exactly what operation this performs without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Implied when-to-use is clear (many items at once, and note that update_item exists for singles). It also explains the routing rule between the typed endpoint (when item_type is supplied) and the generic position/parent endpoint, which is genuinely useful selection guidance. No explicit exclusions or caveats about when not to batch, so not a 5.

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