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Complete commitment

complete_commitment
Destructive

Mark a commitment as completed. Use when the user says they finished something or a deadline has passed.

[write-tier — first use may require a manager's approval; a from-now-on approval makes future calls seamless, a just-once approval re-asks next time. Call it on the first clear ask; the card is the yes — do not re-ask in chat.]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companyIdNoFreedomOS company id to act within (you must be a member). Required for company-scoped tools.
title_searchNoSearch by title if ID not known (fuzzy match)
commitment_idNoThe UUID of the commitment to complete

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already flag this as destructive and non-read-only. The description adds useful operational context beyond the annotations by explaining the write-tier approval behavior: first use may require manager approval, approval can be scoped as from-now-on or just-once, and the agent should act on the first clear ask rather than re-asking in chat. This is valuable behavioral guidance.

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 core purpose and usage guidance are front-loaded in one crisp sentence. The bracketed approval note is somewhat dense but contains important operational instructions. It is efficient overall, though the approval explanation could be tightened without losing meaning.

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 simple completion action with fully documented parameters and destructive annotations, the description covers the key operational concerns: when to invoke it, what approval flow to expect, and how to handle the response ('the card is the yes'). It does not discuss reversibility, but the destructiveHint annotation already communicates that risk.

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?

The input schema already describes all parameters (companyId, title_search, commitment_id) with 100% coverage, so the baseline applies. The description does not add parameter-level guidance, such as preferring commitment_id over title_search or clarifying which identifier to use first, but it does not need to because the schema is self-explanatory.

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 opens with a specific verb and resource: 'Mark a commitment as completed.' It also gives clear trigger conditions ('user says they finished something or a deadline has passed'), which makes its purpose distinct from sibling tools like cancel_commitment, update_commitment, or complete_my_activity.

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?

The description explicitly states when to use the tool: when the user reports finishing something or when a deadline has passed. It does not name alternatives or state when not to use it, but the usage context is clear enough for a simple state-transition tool.

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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