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generate_cheatsheet

Create concise cheat sheets from documentation by extracting key information, organizing content into tools/APIs, and generating markdown summaries for quick reference.

Instructions

Generate a cheat sheet from documentation

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesDocumentation URL
use_localNoUse local files if available
sectionsNoSpecific sections to include
output_formatNoOutput formatsingle
max_lengthNoMaximum characters
force_regenerateNoForce regenerate existing cheatsheets
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 of behavioral disclosure. It mentions 'Generate a cheat sheet' which implies a creation/processing action, but it doesn't disclose key traits like whether this is a read-only or mutative operation, potential rate limits, authentication needs, or what happens with existing cheatsheets (e.g., caching behavior hinted by 'force_regenerate' in schema). The description is too vague to inform the agent adequately.

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, efficient sentence ('Generate a cheat sheet from documentation') that is front-loaded and wastes no words. It directly states the purpose without unnecessary elaboration, making it easy for an agent to parse quickly.

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 complexity (6 parameters, no annotations, no output schema), the description is incomplete. It doesn't address behavioral aspects like mutability or side effects, provide usage context relative to siblings, or explain output expectations (e.g., format or content of the cheat sheet). For a tool with multiple parameters and no structured output information, the description should do more to guide the agent.

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 schema description coverage is 100%, meaning all parameters are documented in the schema itself (e.g., 'url' for documentation URL, 'sections' for specific sections). The description adds no additional meaning beyond the schema, such as explaining how parameters interact (e.g., 'use_local' with 'url') or typical use cases. With high schema coverage, the baseline score of 3 is appropriate as the description doesn't compensate but also doesn't detract.

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 ('Generate a cheat sheet') and the source ('from documentation'), which is specific and understandable. However, it doesn't differentiate from sibling tools like 'crawl_documentation' or 'list_documentation', which likely have different purposes (e.g., crawling vs. listing vs. generating summaries).

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 provides no guidance on when to use this tool versus alternatives like the sibling tools. It lacks context such as prerequisites (e.g., needing accessible documentation), exclusions (e.g., not for raw data extraction), or comparisons to other tools, leaving the agent to infer usage based on 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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