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rodhayl
by rodhayl

discover_tools

Find available tools by category or capability for local LLM-enhanced code analysis and task execution. Check tool requirements before use.

Instructions

Find tools by category/capability. Check callable+requiredArgs before invoking. Use include_examples only when needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoBrowse tools by category
capabilityNoWhat capability do you need? Examples: "find duplicate code", "generate tests", "analyze security"
list_categoriesNoSet to true to list all available categories
include_examplesNoInclude example payloads. Keep false unless examples are needed.
Behavior3/5

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

No annotations provided, so description carries full burden. It implies output content via 'Check callable+requiredArgs' but does not explicitly state this is a safe read-only meta-operation or describe the full return structure (list of tools with metadata).

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?

Three tightly constructed sentences: purpose, prerequisite check, and parameter guidance. Front-loaded with intent, zero redundant text, every clause earns its place.

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?

Given 100% schema coverage and no output schema, description partially compensates by hinting at output via 'callable+requiredArgs'. However, for a discovery tool with rich siblings, it should explicitly state it returns available tool metadata/capabilities.

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%, establishing baseline 3. Description adds valuable usage semantics for 'include_examples' ('only when needed'), indicating performance/cost considerations beyond the schema's technical description.

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?

States specific verb+resource ('Find tools') and scope ('by category/capability'). However, it does not explicitly differentiate from sibling execution tools (e.g., 'Use this to discover available tools before invoking specific analysis tools').

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?

Provides clear guidance: 'Check callable+requiredArgs before invoking' establishes a prerequisite workflow, and 'Use include_examples only when needed' explicitly constrains parameter usage. Lacks explicit 'when not to use' relative to siblings.

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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