systems_summary

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

With no annotations provided, the description carries the full disclosure burden and does a fair job: it enumerates what the response contains (total count, status breakdown, overdue reviews, framework coverage, CIA importance distribution), which tells the agent this is a read-only aggregate. It does not explicitly confirm read-only/non-destructive behavior or clarify edge cases like an empty system list.

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?

Three short, front-loaded sentences: purpose, return contents, recommended use. Efficient overall, though 'high-level overview' and 'best starting point to understand the current state' are mildly redundant in intent.

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?

There is no output schema, so the description appropriately compensates by listing the return fields, and with zero parameters there is nothing else an agent needs to invoke it. A brief note on whether results are scoped to a tenant or affected by filters would make it fully complete.

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 tool takes zero parameters, so the baseline of 4 applies. The description correctly implies no input is needed, consistent with the empty input schema.

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?

Names a specific verb ('Get') and resource ('all data systems in Cyberday') and frames itself as an aggregate summary rather than a list, which implicitly separates it from list_systems and search_systems. It stops short of naming those siblings explicitly, so the differentiation is inferable rather than stated.

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?

'This is the best starting point to understand the current state of your data systems' gives a clear positive use case. However, it offers no when-not guidance or explicit routing away from siblings like list_systems or search_systems when the agent needs individual records rather than aggregates.

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