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notes_create

Create long-form markdown notes for research, decisions, and meeting summaries, auto-tag them as agent-created, and link to plans when relevant for persistent context.

Instructions

Create a work note -- a research finding, decision record, meeting summary, or any artifact long enough to deserve its own file. Auto-tagged created-by:agent. Notes carry the long form; memory_write carries the compact durable knowledge a future session must not miss, so put the write-up here and the one-line lesson there rather than duplicating either. Pass plan= when the note is a plan's narrative or supporting context, so it joins that plan's composition beside its tasks. Do not use this for what the repo, AGENTS.md/CLAUDE.md, or the current conversation already records, and use notes_append to extend an existing note rather than creating a near-duplicate of it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesmarkdown body (aliases: content, text)
planNooptional plan slug (plan:<slug> convention): tags this note into that plan's composition so it surfaces on the Plans screen alongside its tasks_add plan=<slug> steps. Use it whenever this note is a plan's narrative or supporting context.
tagsNotags (a comma-separated string is also accepted)
titleYesnote title
projectNoproject slug; defaults to the bound/ambient session's project. An unknown slug CREATES that project -- naming a new one is normal and never an error. Pass project=global ONLY for knowledge that belongs in EVERY project's briefing; it is not a neutral default. With no session and no explicit project the call is rejected as ambiguous. A session bound to a confidential or sealed project can write ONLY into that project.
source_urlNooptional source URL
descriptionNooptional one-line summary
Behavior4/5

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

All annotations are false/neutral, so the description carries the transparency burden. It adds meaningful behavioral context: auto-tagging ('Auto-tagged created-by:agent'), plan-joining semantics, and project creation behavior (unknown slug creates a project; project=global is special). It doesn't cover every edge case, but it discloses important side effects beyond the schema.

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?

Although dense, every sentence earns its place. The description front-loads the core purpose, then uses semicolons and parallel structure to deliver usage, alternatives, and parameter nuances without redundancy. No wasted words.

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?

For a 7-parameter tool with no output schema, the description covers purpose, usage boundaries, parameter semantics (especially project/plan), and important edge cases (ambiguous session, confidential projects). It leaves little practical doubt about how to invoke the tool correctly.

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 coverage is 100%, so baseline is 3. The description adds significant value beyond the schema for 'project' (defaults, creation, global semantics, rejection conditions) and 'plan' (joins composition, surfaces on Plans screen), and clarifies tags format (comma-separated string accepted). This uplifts the score.

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+resource ('Create a work note') and enumerates concrete examples (research finding, decision record, meeting summary). It clearly distinguishes this from sibling tools like notes_append and memory_write, making 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 Guidelines5/5

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

The description provides explicit when-to-use and when-not-to-use guidance: it contrasts with memory_write ('put the write-up here and the one-line lesson there'), warns against duplicating repo/AGENTS.md/current conversation content, and directs users to notes_append for extending existing notes. This is exemplary alternative guidance.

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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