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update_column_agents

Replace all agents assigned to a Standup column; send the complete list and keep existing identifiers so prior assignments and comments stay linked.

Instructions

Set the agents for a column. The list replaces the column's existing agents, so to change one agent send the full list from get_board with that agent edited. Keep each existing agent's identifier so its assignments and comments stay linked.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentsYesThe complete list of agents for the column (max 10)
boardIdYesThe board identifier
columnIdYesThe column identifier

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.4.0

TDQS

A4/5.0
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 discloses the critical behavioral trait: the list fully replaces existing agents (effectively destructive), and keeping identifiers preserves assignments/comments linkage. It omits permission/scope requirements, but covers the highest-risk behavior well.

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?

Three sentences, each earning its place: purpose, replacement behavior, and the identifier-preservation caveat. Front-loaded and free of filler.

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?

For a 3-param mutation tool with no annotations and no output schema, the description covers the operation, its destructive nature, and the correct invocation workflow. Only minor omissions (auth requirements, the max-10 limit also present in schema) 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 coverage is 100%, so the baseline is 3, but the description adds real semantic meaning beyond the schema: that the array is a wholesale replacement and that the identifier field ties agents to existing assignments and comments. This goes beyond field-level documentation.

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

Purpose4/5

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

States a specific verb and resource ('Set the agents for a column') and immediately clarifies the replacement semantics. It doesn't explicitly differentiate itself from the nearest sibling (update_board_context), but the operation is unambiguous.

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?

Gives clear workflow guidance: to change one agent, fetch the list from get_board, edit it, and resend the whole list. It names a sibling tool and the condition that selects it. No explicit exclusions or error conditions are given.

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