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The Comp Desk Builder

create_skill

Create a draft skill (SKILL.md bundle) in your sandbox. Skills must be self-sufficient: they cannot assume the attorney has a case-management system. A skill that needs external data (e.g. a claimant's wages) must drive the browser Claude is connected to — open the source like the WCB eCase portal, have the user log in, and fetch the document (e.g. the C-240) itself — or read the attorney's local files, or ask the user.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "name": "<name>",
      "slug": "<slug>"
    },
    "name": "create_skill"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYes
slugYes
skill_mdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose one meaningful behavioral fact: the skill is created as a draft in the sandbox, implying it is not live until submitted for review. It says nothing about slug collisions or overwrites, required permissions, validation failures, or what the call returns, which matters for a mutation tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The first sentence is front-loaded and efficient. The remainder is a long, dash-heavy sentence that spends most of the description on how to author a skill's contents rather than on this tool's behavior, diluting the operational information an agent needs to make the call.

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

Completeness2/5

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

For a three-parameter mutation tool with no annotations, no output schema, and 0% schema coverage, the definition leaves the essentials uncovered: parameter meanings, draft/review lifecycle, and differentiation from pull_skill_scaffold and create_calculator. The guidance about self-sufficient skills is substantive but addresses the content of the artifact rather than correct invocation.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate and largely does not. The phrase 'SKILL.md bundle' hints at the skill_md parameter, but name versus slug is never distinguished, no format or slug constraints are given, and it is not stated why name and slug are required while skill_md is optional.

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 opening sentence gives a specific verb plus resource: creating a draft SKILL.md bundle located in the caller's sandbox. That is clearly distinguishable in kind from the calculate_* siblings, but it never contrasts itself with the closest neighbours (pull_skill_scaffold, create_calculator), so the agent must guess which creation path applies.

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?

Usage is implied rather than stated: the agent can infer 'use this to author a skill', and the second half supplies authoring constraints (self-sufficiency, browser-driving, local files, ask the user). There is no explicit when-to-use versus pull_skill_scaffold or create_calculator, and no prerequisite such as pulling a scaffold first or the fact that the result is a draft requiring submit_for_review.

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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