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AgentSkills MCP

AgentSkills MCP

by zouyingcao
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

load_skill

Load skill instructions from documentation to enable financial research agents to perform tasks like stock analysis, web scraping, and multi-source searches.

Instructions

Load one skill's instructions from the SKILL.md.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "skill_name": "<skill_name>"
    },
    "name": "load_skill"
  }
}

Input Schema

NameRequiredDescriptionDefault
skill_nameYesskill name

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states the tool loads instructions but doesn't disclose behavioral traits like error handling (e.g., what happens if the skill doesn't exist), file format expectations, or whether it's a read-only operation. This leaves significant gaps in understanding how the tool behaves beyond its basic function.

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, clear sentence with zero waste, efficiently conveying the core action and resource. It is appropriately sized and front-loaded, making it easy to understand at a glance.

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

Completeness2/5

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

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what the loaded instructions look like (e.g., text content, structure), error scenarios, or dependencies. For a tool that likely returns instructional data, more context is needed to guide effective use.

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% description coverage, with the single parameter 'skill_name' documented as 'skill name'. The description adds no additional meaning beyond this, such as format constraints or examples. Since the schema does the heavy lifting, the baseline score of 3 is appropriate.

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 action ('Load') and resource ('one skill's instructions from the SKILL.md'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'load_skill_metadata' or 'read_reference_file', which likely handle related but different operations.

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?

No guidance is provided on when to use this tool versus alternatives such as 'load_skill_metadata' (which might load metadata instead of instructions) or 'read_reference_file' (which might read other files). The description implies usage for loading skill instructions but lacks explicit context or exclusions.

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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