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crunchtools

MCP Request Tracker CrunchTools

by crunchtools

add_time_worked_tool

Add extra minutes to a ticket's time worked by providing ticket ID and minutes, and get the updated total.

Instructions

Add time to the time worked on a ticket.

Args: ticket_id: The ticket ID number minutes: Additional time to add in minutes

Returns: Confirmation message with new total

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
minutesYes
ticket_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • removedInput schema / additionalProperties
      Removed value: -false
    • removedInput schema / properties / minutes / description
      Removed value: -"Additional time to add in minutes"
    • removedInput schema / properties / ticket_id / description
      Removed value: -"The ticket ID number"
    • addedOutput schema / description
      Added value: +"Generic wrapper for non-object return types."
  2. First observedv0.4.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral disclosure burden. It does state that the tool adds minutes to existing time worked and returns a confirmation with the new total, which is useful. However, it omits details such as permission requirements, whether minutes must be positive, and how repeated calls behave.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and well-structured, with a one-line purpose followed by concise Args and Returns sections. Every sentence contributes necessary information without redundancy or 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 simple two-parameter additive operation with an output schema indicated, the description covers the parameters and return value sufficiently. The main gap is the missing differentiation from set_time_worked_tool, but the tool itself is simple enough that the description is largely complete.

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?

The input schema only provides integer types with 0% description coverage, so the description is essential. It gives meaningful plain-language meaning for both parameters: ticket_id is the ticket ID and minutes is the additional time to add, with units specified.

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?

The description clearly states the action ('Add time to the time worked on a ticket') with a specific verb and resource. The additive wording helps distinguish it from the sibling set_time_worked_tool, though it does not explicitly name that alternative.

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?

No guidance is given about when to use this tool versus set_time_worked_tool or other ticket tools. The description explains what it does but not the conditions under which an agent should choose it over an alternative.

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