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

No annotations are provided, so the description must carry the full behavioral burden. It discloses the algorithm and input modes, but omits what the tool returns for one versus two texts, how similarity is scored, and any constraints beyond the schema's character limit.

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 front-loaded phrase with no filler. Every token contributes to identifying the operation and input modes.

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?

For a simple utility with a fully documented input schema, the description gives enough to invoke the tool correctly. However, because there is no output schema and no annotations, it should explain the response shape for the 1-text and 2-text modes.

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 100%, and the single parameter is fully documented in the schema as accepting 1 text for hashing or 2 texts for comparison. The description adds no meaning beyond that structured field.

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 states a specific operation (text similarity) and names the underlying algorithm (SimHash), plus the two input modes. It is clear enough for an agent to select the tool, though it does not explicitly differentiate itself from a sibling because no similar sibling exists.

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 gives no context about when to use this tool versus alternatives or what the returned result should be used for. It only states the input cardinality, which is already covered by the schema.

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