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

Annotations already provide readOnlyHint=true, so the safety profile is covered. The description adds valuable behavioral context beyond the annotations by disclosing a cost ('PAID $0.50 USD via Stripe MPP') and indicating that the timeline is built from curated, maintained Bitcoin history. This helps the agent anticipate side effects and prerequisites.

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 extremely concise with no filler. The payment disclosure is front-loaded, and the purpose sentence directly follows with meaningful details ('query-specific', 'historical research', 'maintained Bitcoin history'). Every sentence earns its place.

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?

The core purpose is clear and the readOnlyHint plus payment disclosure cover important context. However, there is no output schema and the description does not describe what the returned timeline looks like, how date filtering or limits behave, or any potential usage constraints. This leaves noticeable gaps for a tool with four parameters and no output schema.

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?

Schema description coverage is 0%, so the description must compensate, but it only implicitly references the 'query' parameter. It provides no additional meaning for 'limit', 'fromYear', or 'toYear', leaving their constraints, defaults, and interaction largely unexplained. The parameter names are somewhat self-explanatory, but the description itself adds little value.

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 a specific verb ('Build'), a specific deliverable ('a query-specific historical research timeline'), and a data source ('maintained Bitcoin history'). This distinguishes it from sibling tools like search_bitcoin_knowledge or answer_bitcoin_question, which focus on retrieval or answering rather than timeline construction.

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 implies usage for creating a timeline from a research query, but it does not explicitly state when to prefer this tool over alternatives, nor does it mention any exclusions. There is enough context for an agent to infer the intended use, but no direct comparison with sibling tools.

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