Skip to main content
Glama

skills_load

Load a diagnostic skill to retrieve step-by-step instructions for network troubleshooting, including tool calls, expected results, and anomaly interpretation.

Instructions

Load a diagnostic skill and return its full procedure.

The skill contains step-by-step instructions: which MCP tools to call, in what
order, what results to expect, and how to interpret anomalies. Read and follow
the skill before executing the corresponding workflow.

Matching priority: exact → case-insensitive exact → prefix → substring.
If the name is ambiguous, returns a list of candidates instead of content.

Args:
    skill_name: Skill name (e.g., "bgp-diagnostic-mikrotik", "connectivity-check").
                Partial and case-insensitive matches are supported.
                Use skills_list() first if unsure of the exact name.
    name: Alias for skill_name — either parameter is accepted.

Returns:
    Full Markdown content of the skill plus metadata (platform, tags, token estimate).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skill_nameNo
nameNo
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses matching behavior and ambiguous name handling. Missing details on potential side effects or authentication requirements, but reasonable for a read-only load operation.

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?

Description is well-structured with clear sections, no extraneous words, and each sentence provides necessary information.

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 tool's simplicity (2 optional params, no output schema, no annotations), the description covers purpose, usage guidelines, parameters, return value (Markdown content + metadata), and matching behavior. No obvious gaps.

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

Parameters5/5

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

Schema has 0% coverage, but description explains both parameters: 'skill_name' with examples and partial match support, and 'name' as an alias. This adds essential 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 clearly states 'Load a diagnostic skill and return its full procedure.' It differentiates from sibling tools like 'skills_list' by focusing on loading a single skill, not listing all.

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 advises using 'skills_list()' first if unsure of the exact name, and explains matching priority (exact, case-insensitive, prefix, substring) and behavior when ambiguous (returns candidates).

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/angoran/git-netai'

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