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Search across all Markdown-based knowledge items using full-text fuzzy matching. Narrow results by category to find rules, skills, workflows, agents, commands, or templates.

Instructions

Full-text fuzzy search across all content items

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum results
queryYesSearch query
categoryNoRestrict search to a category (rules, skills, workflows, agents, commands, templates)
Behavior2/5

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

With no annotations provided, the description carries the full burden. While 'fuzzy' hints at approximate matching, it omits details about sorting, pagination, result format, performance implications, or side effects such as whether it performs a destructive operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single efficient sentence with no wasted words. However, it could add a bit more detail (e.g., result format) without becoming overly long.

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 3 parameters and no output schema, the description is too terse. It lacks return value information, result structure, and any limitations. For a search tool with numerous siblings, more context is needed for the agent to invoke it correctly.

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?

Schema description coverage is 100%, so baseline is 3. The description mentions 'fuzzy' which adds nuance to the query parameter but does not define it (e.g., stemming, typos). For 'limit' and 'category', the description adds no extra 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 the action ('search'), the target resource ('all content items'), and specifies the type ('full-text fuzzy'), which distinguishes it from sibling tools like 'list' (for listing all) and 'get' (for retrieving a specific item).

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 does not provide any guidance on when to use this tool versus alternatives like 'list' or 'get'. There are no explicit when-to-use or when-not-to-use statements, leaving the agent to infer context from the name alone.

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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