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productive_update_time_entry

Edit a time entry to correct hours, date, note, or service. Specify only the fields that need updating.

Instructions

Edit a time entry. Only provide fields you want to change.

Args: entry_id: Time entry ID (from productive_list_time_entries). hours: New hours value. date: New ISO date (YYYY-MM-DD). note: New note text. service_hint: New service name or id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entry_idYes
hoursNo
dateNo
noteNo
service_hintNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries full burden. It states 'Edit' which implies mutation, and 'Only provide fields you want to change' suggests partial update behavior. But it doesn't disclose reversibility, auth needs, or side effects like whether empty fields are cleared.

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 very concise: one sentence followed by a bullet-style argument list. Every line adds value, no fluff. The key behavior ('only provide fields you want to change') is front-loaded.

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?

Given the 5 parameters and no annotations, the description sufficiently covers inputs. The existence of an output schema reduces need to explain return values. It could mention error handling or expected response, but not critical.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so description must explain each parameter. It provides clear meaning: entry_id source, hours, date format (ISO), note, and service_hint (name or id). This adds essential context beyond the raw schema.

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 uses the verb 'Edit' with 'a time entry', clearly specifying the action and resource. It distinguishes from siblings like productive_delete_time_entry (delete) and productive_log_time (log) by focusing on modification.

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?

It explicitly says 'Only provide fields you want to change', indicating a partial update pattern. However, it does not directly contrast with logging or deleting, leaving some ambiguity for the agent.

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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