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brain_append_to_note

Append content to an existing note. Requires npub for credit billing.

Note style. Prefer plain prose. Reserve bold for rare critical flags only — a ⚠️ caution, an unconfirmed-status note — never for ordinary emphasis, labels, or whole clauses. Overusing bold buries the links and makes notes hard to scan; let thought-links and source links carry the visual emphasis. Put web sources on a quiet "Sources:" line rather than bolding labels like "TL;DR" or "Source". Linking to other thoughts. To link from inside a note to another thought, write a wikilink: [[Thought Name]] or [[Thought Name|display text]]. The tool resolves it to the correct in-plex thought link automatically — do not hand-write brain:// URLs or paste GUIDs. If a name is ambiguous or not found, the tool leaves the [[...]] literal and returns it in unresolved; disambiguate by pinning the id with [[#]]. For external web pages, use normal markdown links: text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
npubNoRequired. Your Nostr public key (npub1...) for credit billing.
brain_idNoThe ID of the brain (uses active brain if not specified)
markdownYesMarkdown content to append
dpop_tokenNo
thought_idYesThe ID of the thought

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description discloses useful behavioral details: it auto-resolves wikilinks, leaves unresolved [[...]] literals and returns them, supports [[#<thoughtId>]] disambiguation, and specifies the credit-billing prerequisite. It does not mention idempotency or what happens if the target note does not exist, but the provided behavior is meaningfully 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.

Conciseness4/5

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

The core purpose is front-loaded, and the longer guidance is organized under 'Note style' and 'Linking to other thoughts' headings. Each section earns its place by providing necessary formatting rules for a tool that generates note content, though it is slightly verbose.

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 output schema and 80% schema coverage, the description covers the operation, prerequisite, and content-formatting conventions well. It would benefit from an explicit comparison to create/update siblings and a little more detail on edge-case behavior, but it is essentially complete for an append-to-note tool.

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 description coverage is 80%, so baseline is 3. The description adds substantial value for the markdown parameter by explaining wikilink syntax, external link formatting, bold usage, and unresolved-link handling, and it clarifies npub's role for billing. The dpop_token parameter remains unexplained, but the description goes well beyond schema basics.

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 opens with 'Append content to an existing note', which clearly states the verb, resource, and scope. It differentiates from sibling create/update tools through the word 'append', though it does not explicitly name those alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

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

The description gives a prerequisite ('Requires npub for credit billing') and implies the tool is for appending to a note that already exists. However, it does not explicitly state when to prefer this over brain_create_or_update_note or brain_update_thought, and the style guidance concerns content formatting rather than tool selection.

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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TDQS

B3.3/5.0
Disambiguation2/5

Multiple tools have overlapping purposes. For example, `brain_request_credential_channel` and `brain_request_patron_credentials` serve similar roles, and `brain_receive_credentials`, `brain_receive_npub_proof`, and `brain_receive_patron_credentials` all handle receiving data from a courier flow. While descriptions help, the sheer number of tools (83) with similar-sounding purposes (check_ vs get_ vs request_ vs receive_ prefixes) makes it hard to quickly distinguish which tool to use.

Naming Consistency3/5

The tools mostly follow a `brain_verb_noun` pattern (e.g., `brain_create_thought`, `brain_delete_link`), which provides some consistency. However, there are inconsistencies with prefixes like `brain_oracle_` (e.g., `brain_oracle_about`, `brain_oracle_how_to_join`) which are more like static pages than actions. Additionally, 'check' and 'get' seem interchangeable (e.g., `brain_check_balance` vs `brain_get_thought`), and 'list' is used alongside 'get' in a way that sometimes means the same thing (e.g., `brain_list_brains` vs `brain_get_brain`).

Tool Count2/5

83 tools is an extremely large and unwieldy surface area. While the server aims to be a comprehensive 'operating system' for a specific ecosystem (DPYC/Nostr), this many tools will lead to agent confusion and high latency. Tools like `brain_oracle_about`, `brain_oracle_how_to_join`, and `brain_oracle_network_advisory` could easily be combined into a single tool or served as function parameters.

Completeness4/5

For its stated domain (managing a 'brain' with credits, payments, and Nostr integration), the tool set is remarkably complete. It covers CRUD operations, payment flows (purchase, check, restore), coupon management, credential handling, and even notarization. Minor gaps are hard to identify, though some flows feel overly complex (e.g., the multiple `request_`/`receive_` patterns could arguably be simplified). The high number of tools is a result of this extreme specialization.