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get_knowledge_doc

Retrieve markdown content for Algorand knowledge documents by specifying document keys and network parameters to access blockchain resources.

Instructions

Get markdown content for specified knowledge documents

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
documentsYesArray of document keys (e.g. ["ARCs:specs:arc-0020.md"])
networkNoAlgorand network to use (default: mainnet)
itemsPerPageNoNumber of items per page for paginated responses (default: 10)
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It mentions 'Get markdown content' which implies a read operation, but doesn't specify permissions needed, rate limits, pagination behavior (despite an 'itemsPerPage' parameter), error conditions, or what happens if documents aren't found. This leaves significant gaps for a tool with 3 parameters.

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 that directly states the tool's function without unnecessary words. It's appropriately sized and front-loaded with the core purpose.

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?

For a tool with 3 parameters, no annotations, and no output schema, the description is inadequate. It doesn't explain what the tool returns (beyond 'markdown content'), how pagination works with 'itemsPerPage', error behavior, or any operational context. The agent would have significant gaps in understanding how to use this tool effectively.

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 the schema fully documents all parameters. The description adds no additional parameter semantics beyond what's in the schema (e.g., format examples, constraints, or relationships between parameters). This meets the baseline for high schema coverage.

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 ('Get markdown content') and resource ('specified knowledge documents'), making the tool's purpose immediately understandable. However, it doesn't differentiate this tool from potential siblings (though none appear to be knowledge-document-related in the provided list), which prevents a perfect score.

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, prerequisites, or any context about its role relative to other tools. It's a bare statement of functionality without usage context.

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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