Pathrule

Pathrule Delete Skill

pathrule_delete_skill

Destructive

Soft-delete a skill by default. hard:true requires workspace_admin. Cloud-only.

Input Schema

TableJSON Schema

Name	Required	Description
`hard`	No	False or omitted performs a soft delete. True permanently deletes and requires admin rights.
`skill_id`	Yes	Skill UUID to delete.
`workspace_id`	Yes	Workspace UUID from pathrule_list_workspaces.
`expected_version_id`	No	Optional optimistic-concurrency token from the existing record. Pass it when available to avoid overwriting a newer edit.

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	Deleted skill: id, plus the name it had before deletion.
`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. Dates show when Glama detected each change.

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": "Deleted skill: id, plus the name it had before deletion."
+    },
+    "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

A4.5/5.0

Behavior5/5

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

Annotations already flag the tool as destructive, but the description adds meaningful behavioral nuance beyond those annotations: deletion is soft by default, hard deletion requires admin privileges, and the operation is Cloud-only. This is exactly the kind of context an agent needs before invoking it.

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 three short sentences with no filler. It front-loads the most important behavior (soft-delete by default) and then adds the key constraints: admin requirement and Cloud-only availability.

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 the rich schema, output schema, and annotations, the description is complete enough for correct selection and invocation. It captures the essential behavioral, permission, and deployment constraints without needing to repeat schema details.

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?

The input schema has 100% parameter coverage, so the description does not need to re-document parameters. The description reinforces the 'hard' parameter's default behavior and admin requirement, but adds no new meaning beyond the schema.

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 states the specific action ('Soft-delete a skill'), the target resource ('a skill'), and the default mode of operation. This distinguishes it clearly from sibling delete tools that target rules or memories.

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?

The description provides clear context on how to use the tool: soft-delete by default, hard delete requires workspace_admin, and it is Cloud-only. It does not explicitly name alternative tools or exclusions, but the resource-specific wording and sibling names make the usage context clear.

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

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