Pathrule

Pathrule Write Skill

pathrule_write_skill

Create a new skill at a workspace path. Content is the full SKILL.md body (frontmatter + markdown). For github_ref skills set source='github_ref' and github_url. Cloud-only: does NOT materialize the skill into .codex/skills, .claude/skills, .cursor/skills, etc. — Pathrule Studio or CLI is required for on-disk skill materialization.

Input Schema

TableJSON Schema

Name	Required	Description
`name`	Yes	Skill name, usually kebab-case.
`tags`	No	Optional discovery tags such as frontend, database, or release.
`source`	No	Skill source type. Use github_ref only when github_url points to the canonical skill source.
`content`	Yes	Full SKILL.md content including frontmatter and markdown.
`node_path`	Yes	Workspace-relative path where the skill should be offered, e.g. / or /packages/app.
`github_url`	No	Canonical GitHub URL for github_ref skills; null or omit for manual/template skills.
`description`	Yes	Short summary of when agents should use this skill. Use null only if unknown.
`workspace_id`	Yes	Workspace UUID from pathrule_list_workspaces.

Output Schema

TableJSON Schema

Name	Required	Description
`ok`	Yes	true when the call succeeded. false when it did not, in which case `error` carries the reason and the success fields are absent.
`data`	No	Created skill: id, name, node_id, node_path, version_id.
`error`	No	Present only when ok is false.
`human_message`	No	One-line summary of the result, safe to relay to the user verbatim.

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedSep 5, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "additionalProperties": true,
+  "properties": {
+    "data": {
+      "description": "Created skill: id, name, node_id, node_path, version_id."
+    },
+    "error": {
+      "additionalProperties": true,
+      "description": "Present only when ok is false.",
+      "properties": {
+        "code": {
+          "description": "Stable machine-readable failure code, for example insufficient_scope, workspace_id_required, rate_limited, not_found, or upstream_error. Branch on this, not on message text.",
+          "type": "string"
+        },
+        "detail": {
+          "description": "Optional structured context for the failure, for example { missing_scopes: [...] } on insufficient_scope."
+        },
+        "message": {
+          "description": "Human-readable explanation of the failure.",
+          "type": "string"
+        }
+      },
+      "required": [
+        "code",
+        "message"
+      ],
+      "type": "object"
+    },
+    "human_message": {
+      "description": "One-line summary of the result, safe to relay to the user verbatim.",
+      "type": "string"
+    },
+    "ok": {
+      "description": "true when the call succeeded. false when it did not, in which case `error` carries the reason and the success fields are absent.",
+      "type": "boolean"
+    }
+  },
+  "required": [
+    "ok"
+  ],
+  "type": "object"
+}

First observedMay 27, 2026

TDQS

A4.1/5.0

Behavior4/5

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

Annotations only indicate readOnly=false and non-idempotent; the description adds important behavioral context by warning that the skill is NOT materialized into .codex/skills or similar local directories and that Pathrule Studio/CLI is required for on-disk materialization. This goes beyond the annotations without contradicting them.

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?

Three sentences with no filler; the core action is front-loaded, conditional parameter usage is captured, and the critical cloud-only caveat is stated succinctly at the end.

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?

With an output schema and 100% parameter schema coverage, the description only needs to cover the gotchas, and it covers the main ones: content format, github_ref wiring, and the lack of local materialization. It doesn't specify overwrite/conflict behavior for an existing skill at node_path, but that is a minor gap for a create operation.

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 the baseline is 3; the description adds value by clarifying that content is the full SKILL.md body including frontmatter and by stating the source/github_url relationship for github_ref skills. This meaningfully supplements the schema's per-property descriptions.

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 a specific verb and resource ('Create a new skill') and scopes it to a workspace path, which is clear. It doesn't explicitly name sibling alternatives like pathrule_update_skill, but the 'new' qualifier plus the cloud-only caveat makes the operation identifiable.

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?

It gives clear context for when to use the tool—creating a skill—and provides conditional guidance for github_ref skills (set source and github_url). It does not explicitly say 'use update_skill for existing skills' or list exclusions, but the create semantics and cloud-only limitation are enough to guide basic 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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