sylvester_sequence

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

No annotations are provided, so the description carries the full burden. It states what the tool does but lacks behavioral details: it does not specify output format (e.g., list of integers), handling of large n (e.g., performance or overflow issues), or error conditions (e.g., invalid n). For a tool with no annotations, this is a significant gap in transparency.

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 directly states the tool's purpose and includes domain/category tags. It is front-loaded with the core functionality and has no redundant or verbose elements, making it highly concise and well-structured.

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 has no annotations, no output schema, and low parameter schema coverage, the description is incomplete. It lacks details on behavior, output, error handling, and usage context. For a mathematical sequence generator, more information (e.g., output format, sequence definition) would help the agent use it correctly.

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 input schema has 1 parameter (n) with 0% description coverage. The description does not add any parameter-specific information beyond implying n is an integer for generating terms. It does not explain n's meaning (e.g., number of terms, starting index), constraints (e.g., n > 0), or examples. With low schema coverage, the description compensates minimally, meeting the baseline.

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: 'Generate the first n terms of Sylvester's sequence.' It specifies the verb ('Generate'), resource ('first n terms of Sylvester's sequence'), and domain context ('Domain: arithmetic, Category: egyptian_fractions'). However, it does not explicitly differentiate from sibling tools (e.g., other sequence generators like fibonacci_sequence or lucas_sequence), though the specific sequence name helps.

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 mentions the domain and category, but does not specify use cases, prerequisites, or comparisons to sibling tools (e.g., when to choose this over other mathematical sequences). The agent must infer usage from the tool name and context alone.

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