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check_capability_gap

Analyzes a task your agent cannot complete to suggest 5 skills that fill the capability gap, ranked by relevance.

Instructions

Analyze a task the agent cannot complete and suggest skills that would fill the gap. Returns a JSON array of 5 recommended skills ranked by relevance to the task, each with slug, name, description, quality_score, and install_command. Use this when you encounter a task that requires capabilities you do not have (e.g., database access, browser automation, file conversion). Do not use this for general browsing (use list_categories instead) or when you already know what skill you need (use search_skills instead).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesA specific description of the task you cannot complete. Examples: 'query a PostgreSQL database to check user records', 'take a screenshot of a webpage and analyze the layout', 'deploy a Docker container to AWS ECS'. Be specific about the action and target.
current_toolsYesList of tool names or skill slugs the agent currently has access to. This helps avoid recommending tools you already have. Pass an empty array [] if no tools are installed. Examples: ['supabase/mcp', 'microsoft/playwright-mcp'].
agent_typeYesThe agent platform you are running on. Ensures recommended skills are compatible with your platform.
Behavior4/5

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

No annotations are provided, so description carries full burden. It describes the output format (JSON array of 5 recommended skills with fields) and the ranking by relevance. It does not mention side effects, but the tool is clearly read-only analysis. Could mention that it does not install anything.

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 plus a usage note. Every sentence adds value: what it does, output format, when to use, when not to use. No unnecessary words.

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?

For a tool with 3 required params, no output schema, and no annotations, the description is complete enough. It explains the output structure and usage boundaries. Could mention if there are side effects or rate limits, but not essential given the tool's nature.

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

Parameters4/5

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

Schema coverage is 100% (all parameters have descriptions). Description adds value by providing concrete examples for task and current_tools, and explaining the agent_type enum. This helps the agent format inputs correctly.

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?

Description states it analyzes tasks agent cannot complete and suggests skills to fill the gap. Clearly distinguishes from siblings like search_skills (when you know what skill you need) and list_categories (general browsing).

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?

Explicitly says use this when you encounter a task requiring capabilities you lack, and provides clear exclusions: do not use for general browsing (use list_categories) or when you already know what skill you need (use search_skills).

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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