Skip to main content
Glama

ck_skill_load

Read-onlyIdempotent

Retrieve the full instructions and bundled resource files for a specific AgentSkill to activate it after listing available skills.

Instructions

Load the full instructions for a named AgentSkill. Returns the SKILL.md body wrapped in tags plus a list of bundled resource files. Call after ck_skill_list to activate a specific skill.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe skill name as returned by ck_skill_list. In MCP stdio mode, call ck_skill_list first; the enum is omitted so this handshake stays fast.
targetNoOptional render target such as codex, claude, copilot, or cursor.
task_idNo
session_idNoUnique session identifier for correlating findings, proofs, budget, and audit trail.
project_rootNoAbsolute path to the project root. Omit to search global skills only.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
contentNo
resourcesNo
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. The description adds value by detailing the output structure (wrapped in XML tags, list of resources) and the prerequisite workflow, confirming it is a safe read operation with no destructive side effects.

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?

Two sentences with no wasted words. The first sentence states purpose and result, the second gives usage instruction. Efficiently structured for quick comprehension.

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?

Given the output schema exists and annotations are present, the description adequately covers the tool's behavior. It explains the return format and the dependency on ck_skill_list. Optional parameters are documented in the schema, so no critical gaps remain.

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 80% with good parameter descriptions. The description adds context for the 'name' parameter (from ck_skill_list) but does not significantly enhance understanding of other parameters. Baseline score of 3 is appropriate.

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 clearly states the verb 'Load' and the resource 'AgentSkill', specifies the output format (SKILL.md body in <skill_content> tags plus bundled resources), and differentiates from sibling ck_skill_list by explicitly noting it should be called after listing skills.

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?

Explicitly advises 'Call after ck_skill_list to activate a specific skill', providing clear sequential usage guidance. While alternatives are implied (ck_skill_list first), there is no explicit when-not-to-use, but context is sufficient.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/aryaminus/controlkeel'

If you have feedback or need assistance with the MCP directory API, please join our Discord server