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log_task

Log each piece of work separately, identifying status as done, in progress, or blocked, with optional tags and due dates to keep standup reports organized.

Instructions

Log a single piece of work: what you did, are doing, or are blocked on.

If the user gives a rambling, multi-item update in one message (e.g.
"finished the login screen, still working on the API integration, and
I'm blocked on AWS permissions"), call this tool ONCE PER DISTINCT ITEM
rather than logging it as one combined entry.

Infer `status` from the language used for each item:
- "done" -> finished, shipped, completed, past tense ("fixed", "wrote")
- "in_progress" -> still working on, in the middle of, ongoing, todo, to do, need to, planning to
- "blocked" -> blocked, stuck, waiting on, can't proceed until

IMPORTANT: Always normalize status to exactly one of: "done", "in_progress", "blocked".
Never use "todo", "to do", "in progress" (with space), or any other variant.

`tag` is an optional project/category label (e.g. "frontend", "acme-client",
"customer-advisor", "infra", "github"). Set it whenever the user's phrasing implies
a category, using any of these patterns:
- "log ___ under/as/for [category]"
- "tag this as [category]"
- "categorize/sort this as [category]"
- simply mentioning a known project/client name in the task description
Each distinct tag automatically gets a consistent colored-circle emoji
in every response, so tasks stay visually grouped by category over time.
If no category is stated or inferable from context, leave `tag` unset.

`due_date` is an optional ISO date (YYYY-MM-DD) deadline. Set it whenever
the user mentions a due date, deadline, or "by [date]" in their message.
Parse natural language dates (e.g. "due Friday", "by next week", "due Aug 21")
into ISO format.

If `status` is "blocked" and there's already an open blocker with a very
similar description, this updates that existing entry's date instead of
creating a duplicate — so a recurring blocker doesn't pile up as
multiple rows across days.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagNo
statusNodone
due_dateNo
task_descriptionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

A4.5/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure, and it does so thoroughly. It reveals status normalization rules, the exact allowed values, the blocked-entry dedup behavior, the tag-to-emoji visual grouping, and natural-language date parsing. These are meaningful behavioral traits an agent could not infer from the schema 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?

The description is long but well structured and front-loaded with the core purpose. Each block adds actionable detail for status, tag, due_date, and dedup behavior. The only mild redundancy is the 'Never use' line following the normalization rule, which slightly extends the text but also reinforces an important constraint.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity, four parameters, and lack of annotations, this description is complete enough for an agent to select and invoke the tool correctly. It covers multi-item handling, status normalization, tag inference, due-date parsing, and duplicate prevention. Since an output schema exists, not detailing return values is acceptable.

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 description coverage is 0%, so the description must fully compensate. It does: task_description is explained as the work being logged, status has inference rules and forbidden variants, tag has optional category patterns with examples, and due_date has ISO formatting and parsing guidance. Every parameter receives substantial semantic meaning beyond the schema.

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 states a specific action and resource: 'Log a single piece of work: what you did, are doing, or are blocked on.' It clearly conveys the tool's role and the three content categories. It does not explicitly distinguish itself from sibling update tools like update_task_status, but the 'log' framing plus 'call this tool ONCE PER DISTINCT ITEM' makes the purpose 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?

The description gives concrete when-to-use guidance: call once per distinct item in a multi-item update, set status based on language, set tag when a category is implied, set due_date when a deadline is mentioned, and dedupe blocked entries. It does not mention when to prefer update_task_status or get_tasks_by_date, but the triggering contexts are clear and specific.

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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