verify_timestamp

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the tool verifies data against a hash but doesn't describe what 'on-chain timestamp' entails, whether it requires network access, error handling, or the structure of the returned dictionary. For a verification tool with zero annotation coverage, 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 appropriately sized and front-loaded: the first sentence states the purpose clearly, followed by a structured list of args and returns. Every sentence earns its place by providing essential information without redundancy, making it efficient and easy to parse.

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 moderate complexity (4 parameters, no annotations, no output schema), the description is partially complete. It covers the purpose and parameters well but lacks details on behavioral aspects (e.g., how verification works, error cases) and the return value structure. Without an output schema, the description should ideally explain the dictionary's contents, which it doesn't, leaving gaps.

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 description adds meaningful semantics beyond the input schema, which has 0% description coverage. It explains each parameter's purpose (e.g., 'data: Original data to verify', 'encoding: Data encoding') and provides enum-like details for 'encoding' and 'hash_algorithm'. This compensates well for the schema's lack of descriptions, though it doesn't cover all nuances like format constraints.

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: 'Verify data against an on-chain timestamp hash.' It specifies the verb ('verify') and resource ('data against an on-chain timestamp hash'), making the function unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'create_timestamp' or 'parse_envelope', which would require a 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 lists parameters but doesn't explain scenarios for verification, prerequisites (e.g., needing a pre-existing timestamp), or comparisons to siblings like 'decode_op_return' or 'read_document'. This leaves usage context implied at best.

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