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Search standards documentation to find technology guidance on topics like kafka, docker, and kubernetes. Returns up to 5 matching excerpts with detailed information.

Instructions

Search standards documentation for specific topics.

WHEN TO USE:

  • Looking for specific technology guidance (kafka, docker, kubernetes)

  • Need detailed information on a pattern or practice

  • Exploring available standards

EXAMPLE QUERIES: "kafka", "testing", "docker", "logging", "metrics", "archunit", "flyway"

RETURNS: Up to 5 matching results with excerpts from documentation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query (e.g., "kafka", "testing", "docker")
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 that up to 5 matching results with excerpts are returned, but does not mention behavior for empty queries or other edge cases.

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 short paragraphs with clear headings (WHEN TO USE, EXAMPLE QUERIES, RETURNS) – every sentence adds value, no redundancy.

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?

Given no output schema and a single parameter, the description provides sufficient context (return limit and format). Could mention result ordering or ranking, but not critical.

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 coverage is 100% and the description adds example queries, but the parameter description in the schema already adequately explains the 'query' field, so minimal added value.

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 tool searches 'standards documentation for specific topics' and provides example queries (kafka, docker, etc.), distinguishing it from sibling tools like get_context or health.

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?

Includes explicit 'WHEN TO USE' section with scenarios and example queries, making it easy for the agent to decide when to invoke this tool versus alternatives.

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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