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Pathrule Update Skill

pathrule_update_skill
Destructive

Partially update an existing Pathrule skill record. Use pathrule_update_skill only when you already have a skill_id and want to change metadata, SKILL.md content, source/github_url, tags, or move the skill to another workspace path; use pathrule_write_skill to create a new skill, pathrule_read_skill to inspect the current body first, and pathrule_delete_skill to remove one. Requires an authenticated connector token with pathrule:write and an active workspace subscription. Side effects: writes the cloud skill record, may replace fields present in patch, may move the skill when move_to_path is set, and may fail on version conflict; it never installs files into .codex/skills, .claude/skills, or editor folders.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patchYesPartial update object. Include only fields that should change; omitted fields keep their current values. At least one field should be present. Replacing content overwrites the stored approved SKILL.md body.
skill_idYesSkill UUID returned by pathrule_get_context, pathrule_goto, or pathrule_read_skill.
move_to_pathNoOptional workspace-relative path to move the skill attachment, such as / or /packages/app. When provided, Pathrule moves the skill to that node and may create missing nodes; omit it to keep the current path.
workspace_idYesWorkspace UUID from pathrule_list_workspaces.
expected_version_idNoOptional version UUID from the current skill. Pass it after pathrule_read_skill to prevent overwriting someone else's newer edit; a stale value makes the update fail instead of silently replacing data.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYestrue when the call succeeded. false when it did not, in which case `error` carries the reason and the success fields are absent.
dataNoUpdated skill: id, version_id, and the name it now carries.
errorNoPresent only when ok is false.
human_messageNoOne-line summary of the result, safe to relay to the user verbatim.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$schema": "http://json-schema.org/draft-07/schema#",
      +  "additionalProperties": true,
      +  "properties": {
      +    "data": {
      +      "description": "Updated skill: id, version_id, and the name it now carries."
      +    },
      +    "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"
      +}
  2. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already signal non-readonly, non-idempotent, and destructive behavior, but the description adds valuable specifics: it writes the cloud skill record, may replace patch fields, may move the skill, may fail on version conflict, and never installs files into local skill folders. This goes well beyond the annotations and clarifies exactly what side effects to expect.

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?

The description is front-loaded with the core purpose and then moves through usage guidance, prerequisites, and side effects in a logical order. Every sentence adds distinct information; the length is justified by the complexity of the operation.

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?

Given a nested patch object, five parameters, and an output schema, the description covers prerequisites (connector token, workspace subscription), when to use it, side effects, and failure modes. Nothing essential for correct invocation or expectation-setting is missing.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema fully documents all five parameters. The description reinforces that the patch is partial and that move_to_path causes a move, but it mostly restates what the schema already conveys rather than adding new parameter-level detail.

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 and resource: 'Partially update an existing Pathrule skill record.' It enumerates the exact kinds of changes (metadata, SKILL.md content, source/github_url, tags, workspace path), which clearly distinguishes it from sibling skill tools.

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 explicitly states when to use this tool ('only when you already have a skill_id') and names the alternatives: pathrule_write_skill for creation, pathrule_read_skill for inspecting the body, and pathrule_delete_skill for removal. This gives an agent clear routing guidance with no inference required.

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

A3.8/5.0
Disambiguation4/5

Tools are grouped by resource (memory/rule/skill/workspace/snapshot/refresh) and mostly have distinct output shapes, so agents can usually pick the right one. A few retrieval tools (get_context, get_node, get_tree, goto) overlap in purpose, but their descriptions clarify resolution mode vs full tree vs context bundle.

Naming Consistency3/5

All tools share the pathrule_ prefix and mostly follow verb_noun, but the verbs are inconsistent: create_workspace vs write_memory, get_node vs read_memory, delete_skill vs remove_pattern, plus verb-only exceptions like goto, setup, and ping. The pattern is readable but not uniform.

Tool Count2/5

32 tools is above the 25-tool threshold and feels heavy for a single server, even with a broad domain. Several context-retrieval tools and read/list variants could potentially be consolidated, though each tool does have a specific purpose.

Completeness4/5

Core CRUD is covered for memories, rules, and skills, along with workspaces, snapshots, refresh tasks, and pattern import/removal. Minor gaps include no standalone list_rules/list_skills and no snapshot update/delete, but agents can work around these via get_context, goto, and get_tree.

Resources