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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It notes the tool can 'view or add' exceptions and mentions 'expiry tracking,' but it does not explain side effects of adding an exception, validation requirements, potential conflicts, or behavior on duplicate entries. The transparency is minimal and leaves significant gaps.

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 sentence, which is concise, but it is under-specified for a tool with eight parameters. It omits critical operational details, making it too terse to be genuinely useful. It is not unnecessarily verbose, but it does not fully earn its place given the complexity.

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 8 parameters, no output schema, and no annotations, the description is grossly inadequate. It provides no information about parameter interdependencies, return values, or operational nuances. The description only covers the surface-level action, leaving the AI without enough context to use the tool 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?

Schema description coverage is only 13% (only 'add' has a description). The tool description adds no parameter-level meaning beyond the existing schema, and it does not explain the purpose of fields like title, finding_id, accepted_by, or expiry_date. With eight parameters and no compensating details, the description utterly fails to clarify parameter semantics.

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 function: 'View or add risk acceptances / exceptions with expiry tracking.' This specific verb+resource pairing distinguishes it from sibling tools like list_findings or register_finding, which focus on findings rather than exceptions. The mention of 'expiry tracking' adds useful scope context.

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?

No guidance is provided on when to use this tool versus alternatives. It does not mention any prerequisites, exclusion criteria, or direct comparisons to sibling tools. The description merely states what it does, leaving the AI to infer use cases from the tool name and context.

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