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Change a follow-up step

dosai_update_followup_step

Change one follow-up step: its text, the pause before it, a clock time, or switch it off. message_type: static = sent exactly as written, ai = the bot writes it from the conversation, ai_with_context = the bot writes it guided by message_text. Follow-ups reach real clients, confirm the text with the owner. Requires editor role.

Input Schema

NameRequiredDescriptionDefault
step_idYesStep id from dosai_list_followup_steps.
is_activeNo
project_idYesProject id, as returned by dosai_list_projects.
delay_hoursNoHours after the previous message.
message_textNo
message_typeNo
send_at_timeNoSend at this clock time (project time zone), or null to send by the pause only.
stop_on_replyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Beyond the annotations (write, open-world, non-idempotent, non-destructive), the description discloses the material consequence that follow-ups reach real clients and that editor role is required, plus what each message_type does. This is genuine behavioral context an agent could not derive from the annotations alone.

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 action and editable fields, followed by the enum semantics and the risk/auth caveats. Three sentences that each carry weight, with no 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 an 8-parameter mutation tool with no output schema and 50% schema coverage, the description covers purpose, the key enum, auth requirements, and the client-facing risk. Minor gaps remain (stop_on_reply, exact is_active behavior), but nothing essential to correct invocation is missing.

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 only 50%, and the description compensates by mapping the informal phrases to parameters (text, pause before it, clock time, switch off) and fully explaining the message_type enum values (static/ai/ai_with_context), which the schema leaves bare. It only leaves stop_on_reply and is_active detail unaddressed.

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 ('Change one follow-up step') and enumerates the editable aspects (text, pause, clock time, switch off), which clearly separates it from the sibling dosai_add_followup_step. It stops short of naming that sibling, so the differentiation is implied rather than explicit.

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

Usage Guidelines3/5

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

Provides implied usage ('change one follow-up step', confirm text with the owner, editor role required) but never states when to pick this over add_followup_step or list_followup_steps. The agent can infer the edit-existing-step scenario, but there are no explicit alternatives or exclusions.

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

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