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

With no annotations provided, the description carries the full burden for behavioral disclosure. It says 'Tag findings' which implies a mutation or write operation, but does not disclose whether changes are persistent, if permissions are required, or if it is reversible. The second sentence describes output, but side effects are unaddressed.

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 two sentences, with the first stating the primary action and the second adding specific regulatory context. There is no redundant phrasing, and the structure is front-loaded with the core purpose.

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 tool appears to be a write-operation ('Tag findings') but lacks any details about side effects, return values, prerequisites, or whether tags are visual indicators or persisted changes. Given the lack of annotations and output schema, the description alone is not sufficient for an agent to understand the full implications of invocation.

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 coverage is 100% (one parameter 'entity_id' documented in the schema), so the description does not need to add parameter details. However, the schema's description 'Entity ID' is vague, and the tool description never clarifies what entity_id refers to (e.g., a finding ID, an entity, or a trial), leaving semantic ambiguity.

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 specifies a clear action ('Tag findings') with a distinct resource and scope (cross-regulation impact across DORA, MiCA, and AMLR). It explicitly states what the tool does and highlights a unique capability (mapping DORA findings to MiCA and AMLR), effectively distinguishing it from sibling tools like regulation_impact.

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 clear context: use this tool when needing to tag or identify cross-regulation impacts among DORA findings. However, it does not explicitly mention when not to use it or compare with alternatives such as regulation_impact or cross_oracle_assess, so it lacks exclusions but is still clear enough.

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