upsert_skill
Create or replace a skill by slug. Owner-only: requires Authorization: Bearer . Writes JSON to content/skills/.json.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| body | Yes | ||
| slug | Yes | ||
| tags | No | ||
| title | Yes | ||
| category | Yes |
Create or replace a skill by slug. Owner-only: requires Authorization: Bearer . Writes JSON to content/skills/.json.
| Name | Required | Description | Default |
|---|---|---|---|
| body | Yes | ||
| slug | Yes | ||
| tags | No | ||
| title | Yes | ||
| category | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description discloses the key side effect: 'Writes JSON to content/skills/<slug>.json', and the access requirement. This goes beyond the tool name, though it doesn't detail error behavior or reversibility.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, no waste, and front-loaded with the main purpose. Every word adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple file-writing mutation, it covers the main behavior and auth prerequisite but lacks details on return values, validation, or handling of optional parameters. Given no output schema or annotations, more could be said, but it's adequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds meaning only for 'slug' via the file path notation, but leaves 'body', 'title', 'category', and 'tags' unexplained. With 0% schema description coverage, this is a significant gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('Create or replace'), the resource ('a skill by slug'), and the scope, distinguishing it from sibling tools like delete_skill and get_skill via the upsert semantics.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It provides clear context that this is owner-only and requires an Authorization Bearer token, implying privileged use. It doesn't explicitly name alternatives, but the purpose statement is clear enough to infer when to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have clearly distinct purposes with detailed descriptions, but a few boundaries are fuzzy: leave_message vs ask_human vs leave_comment, and list_content vs list_collection could confuse an agent at first glance. Overall, the descriptions are thorough enough to disambiguate.
The naming convention is predominantly snake_case with verb_noun structure (list_content, read_blob, upsert_skill). Minor deviations exist such as the mysloodsiewnia_* prefix and British spelling in synthesise_persona_patterns, but the pattern is highly recognizable and readable.
At 41 tools, the surface area is very large for a single MCP server and exceeds the 'heavy' threshold. While each tool serves a distinct purpose, the sheer number makes the server feel bloated and harder to navigate; many tools could be grouped or pruned without losing core functionality.
The server covers a broad domain: content read/list, personas, skills management, vault CRUD (except update/delete intentionally), provenance, licensing, memory, and async question/narada workflows. Minor gaps exist like no tool to cancel a narada job or update a memory, but these are workable and the core workflows are well supported.