Skip to main content
Glama
martinbechard

MCP Agent Operations

skill_load

Load specified skills by name into the agent context, optionally resolving and appending their extensions, to provide the needed capabilities for operations.

Instructions

Load skills and optionally append independently resolved extensions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
namesYesOne to thirty-two unique base skill names in required order.
include_extensionsNoSearch for each `<name>.extension` through normal catalog precedence and append available extensions. Defaults to false.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
errorsNo
skillsNo
catalog_revisionYes
Behavior2/5

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

With no annotations, the description must carry the full burden of behavioral disclosure. It mentions loading and optional extension appending, but it does not state whether the operation is read-only, requires permissions, or produces side effects. This leaves important behavioral information missing.

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 a single, front-loaded sentence that states the main action and the optional behavior with no filler or wasted words. It is appropriately concise.

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

Completeness3/5

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

The tool has a well-defined schema and an output schema, which covers parameter and return details. However, the description lacks usage guidance and behavioral transparency, creating a gap in context that is notable given the many sibling skill tools.

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 schema already provides 100% parameter coverage, including clear descriptions for 'names' and 'include_extensions'. The tool description adds no additional parameter semantics beyond what is already in the schema, so the baseline of 3 applies.

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 clearly states the tool loads skills and optionally appends extensions, using a specific verb and resource. However, it does not explicitly distinguish this from sibling tools like skill_read or skill_find, so it is not a perfect 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives such as skill_list, skill_find, or skill_read. It only states the action without any exclusions or alternative tool references, leaving the agent without usage context.

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/martinbechard/mcp-agent-ops'

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