analyzeNip19

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 states the tool analyzes to 'understand its type and contents,' implying a read-only operation that returns metadata, but doesn't specify output format, error handling, or performance characteristics. For a tool with no annotations, this is a significant gap, as it lacks details on what 'analyze' entails beyond the basic purpose.

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

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

The description is a single, efficient sentence that front-loads the purpose without unnecessary words. Every part earns its place by specifying the action, resource, and outcome, making it easy to parse and understand quickly. There's no redundancy or fluff, which is ideal for conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (analyzing NIP-19 entities, which may involve parsing and validation), lack of annotations, and no output schema, the description is incomplete. It doesn't explain what 'analyze' returns, such as structured data or error messages, nor does it cover edge cases like invalid inputs. For a tool with no structured output documentation, this leaves significant gaps for an AI agent to use it effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema description coverage is 100%, with the parameter 'input' documented as 'The NIP-19 entity or hex string to analyze.' The description adds no additional meaning beyond this, such as examples, constraints, or formatting details. Since the schema does the heavy lifting, 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.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Analyze any NIP-19 entity or hex string to understand its type and contents.' It specifies the verb ('analyze') and resource ('NIP-19 entity or hex string'), and distinguishes it from siblings like 'convertNip19' or 'searchNips' by focusing on analysis rather than conversion or searching. However, it doesn't explicitly differentiate from all siblings, such as 'getKind1Notes' or 'getProfile', which might also involve analysis of NIP-19 data, so it's not a perfect 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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. It doesn't mention prerequisites, context, or exclusions, and fails to differentiate from siblings like 'convertNip19' or 'searchNips' in usage scenarios. For example, it doesn't clarify if this is for debugging, validation, or initial exploration, leaving the agent to infer usage based on the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.