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Glama

list_items_update

Destructive

Update up to 100 cells in a Slack List by providing the list ID and row, column, and value for each cell.

Instructions

Update up to 100 cells: [{"row_id","column_id", : value}].

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cellsYes
list_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false and destructiveHint=true, so the mutation risk is covered. The description adds a useful behavioral detail (the 100-cell cap), but says nothing about what happens on overflow, whether the batch is atomic on failure, or what a partial update does to existing values.

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?

It is a single compact line with the operation front-loaded and the payload example inline. Nothing is wasted, though it is arguably under-specified rather than lean.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a destructive mutation with no output schema and zero schema-description coverage, the description omits return behavior, failure semantics, and the meaning of list_id. The 100-cell limit is the only substantive behavioral fact provided.

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 description coverage is 0%, so the schema alone documents nothing. The description compensates for the cells parameter by giving its element shape (row_id, column_id, <type>: value), but list_id is entirely unexplained and the accepted value types remain unspecified.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a verb ("Update") and a scale limit ("up to 100 cells") and shows the expected payload shape, so the operation is broadly inferable. However, "cells" is never tied to list items, and there is no differentiation from siblings like list_item_create or list_items, leaving an agent to guess how this differs.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no prerequisites, and no named alternative. The description neither explains when this bulk-update path should be chosen over single-item operations nor states any exclusion, so the agent has no routing signal.

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